{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# ``solarposition.py`` tutorial\n",
    "\n",
    "This tutorial needs your help to make it better!\n",
    "\n",
    "Table of contents:\n",
    "1. [Setup](#Setup)\n",
    "2. [SPA output](#SPA-output)\n",
    "2. [Speed tests](#Speed-tests)\n",
    "\n",
    "This tutorial has been tested against the following package versions:\n",
    "* pvlib 0.8.0\n",
    "* Python 3.8.5\n",
    "* IPython 7.18\n",
    "* Pandas 1.1.1\n",
    "\n",
    "It should work with other Python and Pandas versions. It requires pvlib > 0.3.0 and IPython > 3.0."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import datetime\n",
    "\n",
    "# scientific python add-ons\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "# plotting stuff\n",
    "# first line makes the plots appear in the notebook\n",
    "%matplotlib inline \n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# finally, we import the pvlib library\n",
    "import pvlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pvlib\n",
    "from pvlib.location import Location"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## SPA output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Location: \n",
      "  name: Tucson\n",
      "  latitude: 32.2\n",
      "  longitude: -111\n",
      "  altitude: 700\n",
      "  tz: US/Arizona\n",
      "Location: \n",
      "  name: Golden\n",
      "  latitude: 39.742476\n",
      "  longitude: -105.1786\n",
      "  altitude: 1830\n",
      "  tz: America/Denver\n",
      "Location: \n",
      "  name: Golden MST\n",
      "  latitude: 39.742476\n",
      "  longitude: -105.1786\n",
      "  altitude: 1830\n",
      "  tz: MST\n",
      "Location: \n",
      "  name: Berlin\n",
      "  latitude: 52.5167\n",
      "  longitude: 13.3833\n",
      "  altitude: 34\n",
      "  tz: Europe/Berlin\n"
     ]
    }
   ],
   "source": [
    "tus = Location(32.2, -111, 'US/Arizona', 700, 'Tucson')\n",
    "print(tus)\n",
    "golden = Location(39.742476, -105.1786, 'America/Denver', 1830, 'Golden')\n",
    "print(golden)\n",
    "golden_mst = Location(39.742476, -105.1786, 'MST', 1830, 'Golden MST')\n",
    "print(golden_mst)\n",
    "berlin = Location(52.5167, 13.3833, 'Europe/Berlin', 34, 'Berlin')\n",
    "print(berlin)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "times = pd.date_range(start=datetime.datetime(2014,6,23), end=datetime.datetime(2014,6,24), freq='1Min')\n",
    "times_loc = times.tz_localize(tus.pytz)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['2014-06-23 00:00:00', '2014-06-23 00:01:00',\n",
       "               '2014-06-23 00:02:00', '2014-06-23 00:03:00',\n",
       "               '2014-06-23 00:04:00', '2014-06-23 00:05:00',\n",
       "               '2014-06-23 00:06:00', '2014-06-23 00:07:00',\n",
       "               '2014-06-23 00:08:00', '2014-06-23 00:09:00',\n",
       "               ...\n",
       "               '2014-06-23 23:51:00', '2014-06-23 23:52:00',\n",
       "               '2014-06-23 23:53:00', '2014-06-23 23:54:00',\n",
       "               '2014-06-23 23:55:00', '2014-06-23 23:56:00',\n",
       "               '2014-06-23 23:57:00', '2014-06-23 23:58:00',\n",
       "               '2014-06-23 23:59:00', '2014-06-24 00:00:00'],\n",
       "              dtype='datetime64[ns]', length=1441, freq='T')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "times"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pyephem\n",
      "                           apparent_elevation  apparent_azimuth  elevation  \\\n",
      "2014-06-23 00:00:00-07:00          -34.028887        352.757414 -34.028887   \n",
      "2014-06-23 00:01:00-07:00          -34.055060        353.032425 -34.055060   \n",
      "2014-06-23 00:02:00-07:00          -34.080223        353.307627 -34.080223   \n",
      "2014-06-23 00:03:00-07:00          -34.104374        353.583047 -34.104374   \n",
      "2014-06-23 00:04:00-07:00          -34.127518        353.858659 -34.127518   \n",
      "\n",
      "                              azimuth  apparent_zenith      zenith  \n",
      "2014-06-23 00:00:00-07:00  352.757414       124.028887  124.028887  \n",
      "2014-06-23 00:01:00-07:00  353.032425       124.055060  124.055060  \n",
      "2014-06-23 00:02:00-07:00  353.307627       124.080223  124.080223  \n",
      "2014-06-23 00:03:00-07:00  353.583047       124.104374  124.104374  \n",
      "2014-06-23 00:04:00-07:00  353.858659       124.127518  124.127518  \n",
      "spa\n",
      "                           apparent_zenith      zenith  apparent_elevation  \\\n",
      "2014-06-23 00:00:00-07:00       124.028842  124.028842          -34.028842   \n",
      "2014-06-23 00:01:00-07:00       124.055012  124.055012          -34.055012   \n",
      "2014-06-23 00:02:00-07:00       124.080175  124.080175          -34.080175   \n",
      "2014-06-23 00:03:00-07:00       124.104329  124.104329          -34.104329   \n",
      "2014-06-23 00:04:00-07:00       124.127471  124.127471          -34.127471   \n",
      "\n",
      "                           elevation     azimuth  equation_of_time  \n",
      "2014-06-23 00:00:00-07:00 -34.028842  352.757345         -2.150130  \n",
      "2014-06-23 00:01:00-07:00 -34.055012  353.032330         -2.150281  \n",
      "2014-06-23 00:02:00-07:00 -34.080175  353.307536         -2.150431  \n",
      "2014-06-23 00:03:00-07:00 -34.104329  353.582953         -2.150582  \n",
      "2014-06-23 00:04:00-07:00 -34.127471  353.858574         -2.150733  \n"
     ]
    },
    {
     "data": {
      "image/png": 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4UoSHh/NMzcGcdgmDFj4GmmLfmsZcEisSJmidOXWc9za8TXYP9G42zuk4IaV2hbrUl3L8FH2GcbNedjqOCWFWJEzQeju2I1ujhLYxbbn26qJOxwk5r7Qew7UJwvgjszlwyC5QZK6MFQkTlFas+pzP2UrF+Bw83sh+CV+JbFmy8ni5XvwVJgyY1cnpOCZEWZEwQScp4QzDVr5GuAovNxiVKS4kFCiNb27D7e5ifBt1nM/mD3Y6jglB9u0zQWd47EP8Hg335qxHmWvLOh0n5PVuPZ5rEmH0nnEcO3bQ6TgmxFiRMEFl/abFTEtaQ+n4aF5sMcTpOBlC3hx56VTscfZGuBg0/QGn45gQY0XCBA2PO4nB3z1LEkL3O963ZiY/6lD3CWomxDA34gDffG/9XplLZ99CEzRGzniKVdFuGkXVpFqpGk7HyXBebT6OnG54f+NQzpw67nQcEyKsSJigsHPnKiadXEqJhHB6tfrQ6TgZ0rUx19L66jZsixLeju148QmMwYqECQaqDFzwGP+4hP9Ve4vIiAinE2VYTzTqRYX4HHzOVn5Z9YXTcUwIsCJhHDdh1kssjz7D3VKWOpUaOB0nQ3O5XLxcfxThCO+sfBVPYrzTkUyQsyJhHHXo4FbGHfmSIglC79ZjnY6TKZQtWpYm2euxNhrei33Y6TgmyFmRMI56a3ZnjoQJj5d7mWxZsjodJ9Po0WIwpeKjmJqwmk2bvnM6jgliViSMY2bOH8Q3Uce53V2MJje3dTpOphIeFsbztw0nQYQh3z0DHo/TkUyQsiJhHHHs2EFG7vGeCdy7tV1IyAm3lL6FehHV+Tk6iTEznnY6jglSViSMIwZM78C+CBcPFX+SvDnyOh0n0+rd+kOKJoQx/sS37PljjdNxTBCyImHS3fzvRjIv4iC3JFxNu7seczpOphYdGcVTVfpxPMzFoHld7QJF5j/8ViREJExEfhWROb7HxUXkZxHZJiKxIhLpr2WZ0HXq1HFGbBlObje8eq81MwWD+pUbcSdlWBJ9mtjZrzodxwQZf25J/A/YmOzxQGCYql4PHAUe8uOyTIgaNPUBdkYK7fPfT+F8hZ2OY3z6tBlDgURhdNxM4v7c7nQcE0T8UiREpDDQCBjteyxAHWCGb5TxQHN/LMuErh9WfsZs1w6qxOeiq11IKKjkypKdR2/syaFwF4M+7+R0HBNE/LUl8Q7QHfj3OLq8wDFVTfI93gsUSmlCEekqIitFZGVcXJyf4phgk5RwhmGr+xDtgZcbjnY6jknBfbXu51Z3UeZHHWXOAuum3XiluUiISGPgT1VddSXTq+pIVa2qqlVjYmLSGscEqSFTO7MpClrmakipwqWdjmNS0bvlePK6hQ93j+H4sQNOxzFBwB9bErWApiKyC5iKt5npXSC3iIT7xikM7PPDskwI+vX3Rcx0r6VcfDTP3DvA6TjmAq7JlY8Hiz7GH5FhDLELFBn8UCRU9SVVLayqxYC2wLeq2h5YDLT0jdYRmJXWZZnQ43EnMWT5C4DQ864P7EJCIaBz3SeplhDDnIiDLP7+E6fjGIcF8hvbA3hORLbh3Udhn7ZMaPi0J1kb7aZZ9K1UvK6a03HMJXqt2Tiye+C9jUM5c+qY03GMg/xaJFR1iao29t3foarVVfV6VW2lqtYncSazefsKpp1exg3x4fRo9b7TccxlKHb1tbSOacvWKBdvT7ULFGVmtu1vAsLjdjNw0RMkiPD8LUMIDw+/+EQmqDzZ6GUqxOfkc9nGilUznY5jHGJFwgTE6Fkv8Ut0PA3DKnJzubucjmOugMvlotc9owhX4Z2VvUlKOO10JOMAKxLG73bv28TEY19RIsHFy23snIhQVqZIGZrnbMC6aBgea50mZEZWJIzf9f+qC3+7hG6VehMdlcXpOCaNurcYxA3x0UxL+o0NG791Oo5JZ1YkjF9N+KovP0SdoL5ez93VWjgdx/iBy+Wixx3vk4QwaOlzeJISnY5k0pEVCeM3Bw/vYfzBKRRJgFfaWA+vGUm1UjVoGHULq6LdjJrxlNNxTDqyImH8pv/nDxIXJjxW+llyZM3ldBzjZ6+0GkGJhHAmnvqenTt+cTqOSSdWJIxfzPhmBIsjD1MnqSBNa3dxOo4JgMiICP5XfRD/uIRBCx63CxRlElYkTJodO3GYUTs/JH+i8mrLCU7HMQFUp+Ld1HWVZ1mWeD79oqfTcUw6sCJh0qxfbAf2RwgPXfsQeXPndzqOCbA+rcdQJMHF2L++5NCBzU7HMQFmRcKkydfLxrEgfC+1E/LStt6zTscx6SBbdBYeL/8KR8JcDJjd2ek4JsCsSJgrdvLkcUZsHEIet/JyczuaKTNpUrMVt3lKsCj6BDPnveV0HBNAViTMFRsQ+yC7IoUO+e+ncExRp+OYdNan1TiuSYSR+yZy7Oh+p+OYALEiYa7I0l+mM8e1nWrxOXm4US+n4xgH5M1xFV2ue4p9ES4GzujgdBwTIFYkzGVLiD/F8F/fIKtHeaXRWKfjGAfdf2dXbknMz9yIP/l68YdOxzEBYEXCXLYhUzuyOQpa52lGiUKlnI5jHNa7xXjyuGHEtvc5ceKw03GMn1mRMJdl5Zo5fO7ZQIX4bDzVrK/TcUwQKHhVQToW6syuSBf9p9l1sTMaKxLmkiUlnGHIzy8TpkLPeh/Z9arNWZ0bPE/NhKuYF7aHBcvthMqMxL7l5pK9PbUL66OV+3LWp3yxSk7HMUHmtaYTyO1W3tswiJMn/3Y6jvETKxLmkqxeO58Z7t8oF5+F51sMdjqOCUJFrinKg9e0Y1ek0C+2vdNxjJ9YkTAXlZSYwOAfuxOG8FLdD62ZyaSqS+NXuDk+F/NcO1n4wySn4xg/sG+7uaihUx/m92gP92WrQ4USVZyOY4Lcq03Hk9OtvLd+ACdPHnc6jkkjKxLmglav/4YZSasoFx/F8/cNczqOCQFF8l/HA1e3YWckDIi1o51CnRUJk6qkpEQGLX8eAXre9QGusDCnI5kQ8XCT16gen4s5rh1886M1O4UyKxImVUNju7I+ys19WW6n4nXVnY5jQsyrTceT3QPvrXuLU6ftaKdQleYiISJFRGSxiGwQkfUi8j/f8KtEZKGIbPX9zZP2uCa9rN6whBkJKygbH8kLrd5zOo4JQcXyX0f7mFZsjxIGTrG+nUKVP7YkkoDnVbUMUBN4UkTKAD2Bb1S1JPCN77EJAR53EoO/f8bbzHTHcGtmMlfssSa9qRqfi9muHXz30xSn45grkOYioaoHVHW17/4JYCNQCGgG/HuRgfFA87Quy6QP79FMblpkuY1KpWo5HceEuFcbjyW7B95Z248z1uwUcvy6T0JEigE3AT8D16jqAd9TB4FrUpmmq4isFJGVcXFx/oxjrsBvG75hesIvlI2P5MVW7zsdx2QAJQqWpF1MK7ZFCQOn2NFOocZvRUJEsgOfAc+o6jk/F1RVAU1pOlUdqapVVbVqTEyMv+KYK+BJSmTw98+hCC/eMcKamYzfPNGkN5XjczHLtZ3vrdkppPilSIhIBN4CMUlVZ/oGHxKRAr7nCwB/+mNZJnDenfoQv0V7aJ7ldqqUqul0HJPBvNp4LFmt2Snk+OPoJgE+ATaq6tBkT80GOvrudwRmpXVZJnDWrl9IbOIqSsdH0b3lu07HMRnQ9QVL0jpfS7ZECYOt2Slk+GNLohbwAFBHRNb4bg2BAcDdIrIVqOt7bIKQJzGeIcuex43Q884PCA8PdzqSyaC6NX6NSvE5+dyanUKGP45uWqaqoqoVVLWS7zZXVY+o6l2qWlJV66rqX/4IbPzvnSmd+TVaaZa1DlVK2klzJnBcLhe9G48jqweGru3HqVPWt1OwszOuM7mVa75kqvs3bozPwsut3nE6jskEri9Ykg5Xt2FblNB/yv1OxzEXYUUiE0uIP8WgFS/jUuHV+qOsC3CTbh5r/Co14vMwJ2w385d+4nQccwG2VsjEBk3uwMYoaJ27MeWLVnQ6jslkejefSG43vLd5KMePH3I6jkmFFYlMaumKWGbKFirGZ+eZ5v2djmMyoSJXX0vnIl3ZHemi/7R2TscxqbAikQmdOv03Q397k6we6NN4vDUzGcd0rPc0tyYWYF7En8xaOMTpOCYFtnbIhPpPbsf2SKFDTGuuL1jK6Tgmk3uj9WSuThI+2D2GuLidTscx57Eikcks+G4Uc8J2Uz3hKh5r8prTcYwhJmc+Hi31PAfCXbw1sz1oij34GIdYkchEjh87yPAt75DbDX2aTXQ6jjFntbqtE3d4rmNh9Aliv3zV6TgmGSsSmchb09qyO9JF52sfo8jVRZyOY8w53mw7kUKJwsdxM9m393en4xgfKxKZxKx5/ZkbeZhbEgvR8e5uTscx5j9yZc3BUxXf4K8wFwPmdAKPx+lIBisSmcLhg5v5YN9Erk4S+ra2i9Kb4NWoWnPukgosyRLP+M/+53QcgxWJjE+VAV88wIFwF11Lv0RMzrxOJzLmgt5sN4aiCeF8cuIbdmxd7nScTM+KRAY3eeazzM9ymtqUpvWt1k+OCX5ZI6N5/uahnBQX/b95Ak9ivNORMjUrEhnYjq3L+fj4AgonhDGg7QSn4xhzye4sdycNo2/j5ywe3p/Syek4mZoViQzKkxhPv2+e4B9x8XyNIeSIzup0JGMuS+/W71E6Piufutfyy4qpTsfJtKxIZFDvTenIiiweGma5nboV6jodx5jLFh4WRp97xhGuwqA1b3LqRJzTkTIlKxIZ0MoVU5joXkfp+Kz0bjXc6TjGXLGyRW6kXf4H2RTlYsiUlnY2tgOsSGQwp/4+xMA1bxKuQp97xhMeFuZ0JGPS5OmG3amcWJDPIo/w9dw3nI6T6ViRyEhUeXtKSzZFhdE2fyfKFintdCJj/GJgq0lc5XbxzoFY/tzzm9NxMhUrEhnI13NeZUbUUSolFeZ/DV9wOo4xfpM/Vz4eL/saB8JdDJjTEdyJTkfKNKxIZBBxu37hnUOfcZU7jMGtrPM+k/G0rtmS2mFVWZjVzcSpXZyOk2lYkcgIEk8zcO5DHAgP49FyfchvZ1WbDGpQ248pnBDNR/Gr2LJ6htNxMgUrEhnAlMkdmJ9NuTm8Bm1r3Ot0HGMCJmtEFC/d8RGnxcXAFa+SdHSP05EyPCsSIW7L0vcZ4d5IgcSsvN3qA6fjGBNwt5WsQoOr2rAiSzijpra0/RMBZkUihCXsX0u/De9xRsJ4tc4oskVFOR3JmHTxZpNeFEsqxKgsJ/l5pnV9H0gBLxIi0kBENovINhHpGejlZRpnjvPBzPaszhJJk/yPULtEBacTGZNuXC4X7zQfR5Q7gr7HvuPYr7FOR8qwAlokRCQMGAHcA5QB2olImUAuM1PwuFk6qQ1jsyvXeW7k1fr2S8pkPtflzU/XCv3YHRHB4B9egUMbnI6UIQV6S6I6sE1Vd6hqAjAVaBbgZWZ4cbOfoy+7yebOykctP8blslZDkzl1rtaQKlkaMDt7NF9MvQ/+PuB0pAwn0GuXQkDyww/2+oaZK+RZPpy39s/hUFg4z9d8h/w58jgdyRhHfdiiH7mSCvJWThc7JraA+BNOR8pQHP8JKiJdRWSliKyMi7NeHi9o+bvM/GkAC7NlpWaeB7iv7C1OJzLGcdERkbxTfwTxGkWvsL+In9gCzvztdKwMI9BFYh9QJNnjwr5hZ6nqSFWtqqpVY2JiAhwnhH03iO1L3qD/VfnI4bmREY2fdzqRMUGjauHraXt9D36PjmTEya3waXM4fdTpWBlCoIvEL0BJESkuIpFAW2B2gJeZ8Xzbj/gl/Xj86mIkalbGNB5qvbsac56et7Xh2og6jM2Vg+VHN8GEZnDqL6djhbyAFglVTQK6AfOBjcA0VV0fyGVmOD+8D0sH0b3gTRyITOCxMr0oHVPY6VTGBKWJzfsRnlSAp/MV4vDhLTChKSScdDpWSAv4PglVnauqpVT1OlXtF+jlZSjH/oBFfZhauAbfRh7hhiyNebJmE6dTGRO08mTNzqDbBhEvSbTPfxOeg+tg2TtOxwppju+4Nhew8Ut2uZT+YUeIdpdgwr19nE5kTNC7u2QlGhR4lP3hexlcoDystRPt0sKKRBA7uXkeT19TANVwRt3zLlkjrNsNYy7FoHpducZ1MxOjjrPizEE4st3pSCHLikSwOrKdwSfWszNSeKzMK1QqUMzpRMaEDJfLxZR7hxDlzkf3mHz8sew9pyOFLCsSQWr8zMf4LGd2boqub/shjLkCMdlzMuiOd/nbFc4rB+dx5vBOpyOFJCsSQejHpR8zInw/1ybkYmSL/k7HMSZk1bmuAi0LdOHX6Eje+qwDqDodKeRYkQgyR/7cQf/N7xKpLgY1Gk90RKTTkYwJaS83eIbqSdcyM/pvPv3COqK+XFYkgojH7ea1z9uyO8LFoyWeoWzB65yOZEyGMLTdVIoluPjo6Bx+Xf+N03FCihWJIDJo6sMsjT5NAynLA3c85HQcYzKMXFlz8Grt9/EAby5/hpMnrW+nS2VFIkjMWvIxsYm/UPFMFP3bT3Q6jjEZTvXStemcryVbo6DnZLtiwaWyIhEENu9czdDtw4lJgreaTSc8PMLpSMZkSF2bvk79pMIsiTzM21MfdzpOSLAi4bCTp07Qa2FnTrmElyu9SZH8xZ2OZEyG1v+BLyh/JoJJZ77ny6VjnI4T9KxIOOylSc3YHOWhU66G3FH1XqfjGJPhRUZGMbBpLHmTYOjWt9mye43TkYKaFQkHvTPtKRZHxnF3YiGebDHI6TjGZBpFCpSkR/nenHAJveZ34uQpu5pdaqxIOOTrHybx6cnFlI0Pp/8DM52OY0ymU7dGKzrnuodNUW5emmQ7slNjRcIBW3avZdDG/uT2KP3vmUh0VFanIxmTKT3ZYjD1EguxODKOobFPOh0nKFmRSGfH//mLl+Y/wN8uoXuZXpQoUtbpSMZkav0emEm5+HAmnfrOdmSnwIpEOvK43bw4uQlbojw8kqcp9W++3+lIxmR60VFZGdA4lrxuGLz1bdZu+cHpSEHFikQ6en3i/fwY9TdNPSV5tLl13GdMsChasBSvVRlAokCv7x7l0JF9TkcKGlYk0smYL1/nc11PjfjsvPngdKfjGGPOc+tNjelWsCN7IpQXZjQjISHe6UhBwYpEOvh2xQw+OjyN6xJcDGn3Ja6wMKcjGWNS0L5Bd9pGVGdNdDwvTWjqdJygYEUiwDbv/JV+63qTzQP9644ld458TkcyxlxAz/ZjqJNwDQsi9jNk6mNOx3GcFYkAOnRkHy8uepATLuhZphc3lqjidCRjzCUY+OBsKpyJZNKZZUxdMMzpOI6yIhEgp86c5NnPmvBHhPLUNQ/YkUzGhJDoqKwMbjGTgonCO/tG8+2KGU5HcowViQDwuN08N6EB66ISeSC6Ng80tKthGRNqCsYU5a07RpHFA2+s651pD421IhEAvSbcx/KoYzT2lOD5th86HccYc4UqlKxJ74p9iRfo+V1X9hzY6nSkdBeelolFZDDQBEgAtgOdVfWY77mXgIcAN/C0qs5PW9TQMDT2Cea4tlMrPjf9Hkp7n0yJiYns3buXM2fO+CGdMaEtOjqawoULExGRftdcuaPqvTx3bB9v7f2IZ79syeh232SqA1BEVa98YpF6wLeqmiQiAwFUtYeIlAGmANWBgsAioJSqui80v6pVq+rKlSuvOI/TRs7qxYijsygbH8nojt+TNTpbmue5c+dOcuTIQd68eRERP6Q0JjSpKkeOHOHEiRMUL57+1135+POXGHH8S26Kz8LHnb4Lqj7XRGSVqlYNxLzT1NykqgtUNcn38CegsO9+M2Cqqsar6k5gG96CkWFN+noQHx6dxfUJYbzbeo5fCgTAmTNnrEAYA4gIefPmdWyr+tF736JNeFVWR5/h2fH1SUpKdCRHevPnPokuwDzf/ULAnmTP7fUNy5BmLRnJOwcmUDhReKfp58TkKejX+VuBMMbL6e9Crw7jaOwuzrKoYzw/9h487gs2jmQIFy0SIrJIRH5P4dYs2Ti9gCRg0uUGEJGuIrJSRFbGxcVd7uSOW/TzdAbseJer3PB2vUkUyV/C6UjGmADq1/Fz6iYW4NvIQ/QY1zTDF4qLFglVrauq5VK4zQIQkU5AY6C9/v8Ojn1AkWSzKewbltL8R6pqVVWtGhMTk6YXk96WrZnLG+v7kEVh8G0jKVW0gtORQlKnTp2YMSPzHoduQosrLIy3O8/j9oS8fB3+B69NaO10pIBKU3OTiDQAugNNVfVUsqdmA21FJEpEigMlgRVpWVaw+X71bF5e9SIo9K06hAqlbnE6kjEmnbjCwnin80Jujs/JLNcW3vi0vdORAiat+yTeB3IAC0VkjYh8BKCq64FpwAbga+DJix3ZFEq+WzWLXmteQoD+VQZzS8V7nI4UULt27aJ06dK0b9+eG2+8kZYtWzJ37lyaN29+dpyFCxdy7733ArBgwQJuvvlmKleuTKtWrfjnn38AKFasGN27d6d8+fJUr16dbdu2nZ1+6dKl3HLLLZQoUeKcrYrBgwdTrVo1KlSoQO/evc/J06lTJ0qVKkX79u1ZtGgRtWrVomTJkqxYkaF+j4S0kydP0qhRIypWrEi5cuWIjY1N9XPw5ZdfUqNGDW666Sbq1q3LoUOHHE5/YeHhEQzvuJBq8VmZ7lnL6xPaOh0pINJ0noSqXn+B5/oB/dIy/2C0ZOXnvLr2FcIU+lcdkq4F4vUv17Nh/99+nWeZgjnp3eTiV8fbvHkzn3zyCbVq1aJLly6sX7+eTZs2ERcXR0xMDGPHjqVLly4cPnyYvn37smjRIrJly8bAgQMZOnQor732GgC5cuVi3bp1TJgwgWeeeYY5c+YAcODAAZYtW8amTZto2rQpLVu2ZMGCBWzdupUVK1agqjRt2pSlS5dy7bXXsm3bNqZPn86YMWOoVq0akydPZtmyZcyePZv+/fvzxRdf+PV9CnUDVwxk01+b/DrP0leVpkf1Hhcc5+uvv6ZgwYJ89dVXABw/fpwePXqk+Dm49dZb+emnnxARRo8ezaBBg3j77bf9mtnfoqOy8v6D3/LUhLrMiFpPwtgW9Oucsa5Zb2dcX4ZFP0/nFV+BeKva2xl+CyK5IkWKUKtWLQA6dOjA8uXLeeCBB5g4cSLHjh3jxx9/5J577uGnn35iw4YN1KpVi0qVKjF+/Hh27959dj7t2rU7+/fHH388O7x58+a4XC7KlClz9hfkggULWLBgATfddBOVK1dm06ZNbN3qPeO1ePHilC9fHpfLRdmyZbnrrrsQEcqXL8+uXbvS6V0xF1O+fHkWLlxIjx49+P7778mVKxeQ8udg79691K9fn/LlyzN48GDWr1/vWO7LkTU6Gx92WsIt8bmY7dpKjzFNMtTO7DRtSWQmM74ZwZA/PiCrQv/qw6hZvl66Z7iUX/yBcv6hhyJC586dadKkCdHR0bRq1Yrw8HBUlbvvvpspU6ZcdD7J70dFRZ29/+/xD6rKSy+9xKOPPnrOPHbt2nXO+C6X6+xjl8tFUlIS5lwX+8UfKKVKlWL16tXMnTuXV155hbvuugtI+XPw1FNP8dxzz9G0aVOWLFlCnz59nIh8RSIjoxjRZTFPj6nL3KhdJI5tyJDOczPEtWNsS+ISjPnydQb88SF53MI7tUc5UiCc9scff5z9xTd58mRuvfVWChYsSMGCBenbty+dO3cGoGbNmixfvvxsO/PJkyfZsmXL2fnExsae/XvzzTdfcJn169dnzJgxZ/dp7Nu3jz///NPvr80Ezv79+8maNSsdOnTgxRdfZPXq1UDKn4Pjx49TqJD3dKrx48c7EzgNwsMjGN5lEXUSrmZhxH4e/+R2Tp056XSsNLMtiYsYGtuNCaeXUDzRxdBG0yheqLTTkRxxww03MGLECLp06UKZMmV4/PHHAWjfvj1xcXHceOONAMTExDBu3DjatWtHfLz38o99+/alVKlSABw9epQKFSoQFRWV6tbGv+rVq8fGjRvPrkSyZ8/OxIkTCcsAv84yi3Xr1vHiiy/icrmIiIjgww8/pGXLlil+Dvr06UOrVq3IkycPderUYefOnQ6nv3zh4REM67KAVye0YnbUVh6eUJth933JNXlD91ziNPXd5G/B1HeTx+2m14QWzHHtoFx8BO849I/euHHj2RWwU3bt2kXjxo35/fff//Nct27duOmmm3jooYcuOp9ixYqxcuVK8uXLPJ2jmf9K6+cgGL4Tl2Jo7BNMOL2UoonC4HqfUqpopYAtK2j7bsqojp04zCOf3Moc1w5qxedmZPtvQ/qXQKBUqVKFtWvX0qFDB6ejGBN0nmvzAc9dfT/7w5UnFrYP2QsX2ZbEebbsXkPP+Q+yLdJDCynHax0mObrzKVR+NRmTXkLtOzFv+acM3DSAky6hS+4mPH7vW35fhm1JpJPpi97nkUXt2RPh4emrWtCn49QMcXSCMcY599R6gJF1J1E0MYwP/p5D908akZAQ73SsS2ZFAkhKSqT3+Db03fsRWVQYVO51Hm76htOxjDEZRKmilRjfYRm3xedlXvgfdBp3M1t2r3E61iXJ9EVi2x+/0/mTm5nJBqrGZ2dc83ncWe0+p2MZYzKYbFlzMKLrEh6MvIUtEQk8/E17Jszt73Ssi8rURWLkrF50WtSG9VFnaBtWhVEPLyd/viIXn9AYY67Qi+0+ZljF/uR0uxgcN4VnRt/NsROHnY6VqkxZJHbv38IjI2/hvWOzyet2Max8P3p1GGf7HxxiXYV77dq1i8mTJzsdw6SD2pWbMqndd9RJuIZvIg7SOvYOpi4Y6nSsFGWqIpGQEM/AyQ9z/9f3sjLyb5p4rmfKAz9xe5VmF5/YmMtwJV2DWJHIXHJlv4p3H1lErwJdAOh3YCyPjazNzn3+7YgxrTJNkZi2cDitx1VjYuLPFEqKYFi5N+nf+XO/XYs6o0qpm/BTp07x7bffhlRX4bt27aJ27dpUrlyZypUr88MPPwCwZMkSbrvtNho1asQNN9zAY489hsfjAbxneD/77LNnOxD898qJo0aNolq1alSsWJH77ruPU6e8l1Lp1KkTjz32GDVq1KB79+5s376dBg0aUKVKFWrXrs2mTZvOjvf000//5/X27NmT77//nkqVKjFs2LC0//NMSGhb71mmtVnCPUnX8nPkUdotuI/e49sETxOUqgbNrUqVKupvXywZpW0/rqTlxpXT20eX0fdmPK/upCS/LydQNmzY8P8P5vZQHdPQv7e5PS64/J07dyqgy5YtU1XVzp076+DBg9Xj8egNN9ygf/75p6qqtmvXTmfPnq1xcXFau3Zt/eeff1RVdcCAAfr666+rqmrRokW1b9++qqo6fvx4bdSokaqqduzYUVu2bKlut1vXr1+v1113naqqzp8/Xx955BH1eDzqdru1UaNG+t133+nOnTs1LCxM165dq263WytXrqydO3dWj8ejX3zxhTZr1uw/r+PkyZN6+vRpVVXdsmWL/vtZW7x4sUZFRen27ds1KSlJ69atq9OnT1dVVUAnTpyoqqqvv/66Pvnkk6qqevjw4bPz7dWrlw4fPvzs62jUqJEm+T5fderU0S1btqiq6k8//aR33nnnBV/v4sWLz74nJnXnfCcymKWrZmmHj6pouXHl9M7RZXTg5Ef02IkjF50OWKkBWi9nyL6bzsSfYsLX/Vh06Cs2RrnJE+6hjasy3VoPI3cO6xLicp3fTfjw4cN54YUXznYV3rlzZ3788UcmTJjA119/fbarcICEhIRzOvJL3kX0s88+e3b4xboKB/jnn3/YunUr11577dmuwoFL6io8MTGRbt26sWbNGsLCws7pdLB69eqUKFHibK5ly5bRsmVLXC4Xbdq0Ofu6W7RoAcDvv//OK6+8wrFjx/jnn3+oX7/+2Xm1atWKsLAw/vnnH3744QdatWp19rl/+7JK7fUaU7tyU2pXbkrswneYunMMnyb8yJzY2twRXpZH6vWjSIGS6Z4pwxQJj9vNtytnMv/3caxiF3HhLq5xeWgpFXji3reJyVPQ6Yhpd88ARxabUjfhQEh1FT5s2DCuueYafvvtNzweD9HR0Rd9fall79SpE1988QUVK1Zk3LhxLFmy5Ow42bJ5my89Hg+5c+dmzZo1Kc4rpddrzL/a3P0MrdxPMe2b4cze9Smfh29kzvx7uSk+O3cUac59dZ5Kt6byoNon4VHPZY2/ZfdaRs7qxdOj6tBwbEWe3fQGC8N2UyApmv/luZe5D66m94NTMkaBcFBK3YQDIdVV+PHjxylQoAAul4tPP/0Ud7KLwqxYsYKdO3fi8XiIjY09+/o8Hs/Z/QXJX/eJEycoUKAAiYmJTJo0KcXl5cyZk+LFizN9+nTAWwh+++23C2bMkSMHJ06cuKLXZzIeV1gYbes9y+Suq3n3xt7clpifzREnGBQ3iTpTqtNlZA2Gxj7Bj2u/DmiOoNqS2PTXRu4ZXY4YdxZyurKTLSw7WcOzoQoe3JxK/Ie/PX9znFPsD0/gWJi3xmUJ91AqIZo7s95E69tfyLTdeQdKat2EQ+h0Ff7EE09w3333MWHCBBo0aHD2Fz9AtWrV6NatG9u2bePOO+88uwM+W7ZsrFixgr59+3L11VefLXBvvvkmNWrUICYmhho1aqS6Yp80aRKPP/44ffv2JTExkbZt21KxYsVUM1aoUIGwsDAqVqxIp06dzmmOM5lbneotqVO9JSdOHiP2m2GsPriEDWGH+eXM94z99fuALjuoOvjLXyyX3vNSaf50neJ4mIcTLsGTbNM/0qPkcSu5POFcTU4KZSlG2cK1qFejPdmy5nAweeA43ZnZhboJh9DvKnzJkiUMGTLk7LW2k8uePfvZrRgTPJz+TgQLj9vN92vm8MvWebzY7uOAdfAXVFsShfOVZOyjP599nJSUyNETcYS7IggPjyBbdA474S2IVKlShWzZsgX9xeqNyYhcYWHcXqUZt1dpxovtPg7YcoJqSyIYugoPNvaryZhz2Xfiv6yr8EwumAq5MU6y70L6syIR5KKjozly5Ih9OUymp6ocOXLknMOXTeAF1T4J81+FCxdm7969Z7uEMCYzi46OpnDhwk7HyFT8UiRE5HlgCBCjqofFe9bRu0BD4BTQSVVX+2NZmU1ERATFixd3OoYxJpNKc3OTiBQB6gF/JBt8D1DSd+sKfJjW5RhjjEl//tgnMQzoDiRvNG8GTPD1PfUTkFtECvhhWcYYY9JRmoqEiDQD9qnq+f0NFAL2JHu81zfMGGNMCLnoPgkRWQTkT+GpXsDLeJuarpiIdMXbJAUQLyIpn9obXHIBx50OcQksp3+FQs5QyAiW099uCNSML1okVLVuSsNFpDxQHPjN1ztmYWC1iFQH9gHJLxZd2DcspfmPBEb65rkyUCeE+JOIjFTVrhcf01mW079CIWcoZATL6W8iErCzkK+4uUlV16nq1apaTFWL4W1SqqyqB4HZwIPiVRM4rqoH/BM5KHzpdIBLZDn9KxRyhkJGsJwhw2/dcojILqBqskNg3wca4D0EtrOqXrTShcqWhDHGBJNArjv9djKdb2vi3/sKPHkFsxnprzzGGJOJBGzdGVQd/BljjAku1ncTICINRGSziGwTkZ6+YZ+IyG8islZEZohI9lSmfck33WYRqX+heQYgo4hIPxHZIiIbReTpVKbtKCJbfbeOyYZXEZF1vnkOl9Su25n2nHVEZLWI/C4i40UkxS3Y9MopImNE5M/kR9KJyGAR2eT7f38uIrkv9fX5hhcXkZ99w2NFJDItGS+Qs4+I7BORNb5bwyDNWUlEfvJlXOk7oCWladPzs1lERBaLyAYRWS8i//MNb+V77BGRVJts0vM9DSqqmqlvQBiwHSgBRAK/AWWAnMnGGQr0TGHaMr7xo/Ae6bXdN78U5xmAjJ2BCYDLN97VKUx7FbDD9zeP734e33MrgJqAAPOAewL0Xu4BSvnGeQN4yOGctwGVgd+TDasHhPvuDwQGXurr8z03DWjru/8R8LgfPpsp5ewDvHAl/4d0zrng3/8T3u55ljj5P/fNswDeg2sAcgBbfJ/PG/EeQroE735Vx9/TYLoFdEsilV+Vl1R1JZ1+oQPVgW2qukNVE4CpQDNV/du3PAGycO4Z5f9qBkxV1XhV3Qls880vxXn6OyPwOPCGqvfi4Kqa0gWg6wMLVfUvVT0KLAQaiPcM+Jyq+pN6P90TgOZpyJhazvuABFX990LXC33DHMupqkuBv84btkBVk3wPf8J72PalvL5mvs9IHWCGb7zxac2YWs5LFAw5Fcjpu58L2J/CpOn52URVD6ivDzlVPQFsBAqp6kZV3XyRydPtPQ229WbAioSIhAEj8PbjVAZoJyJl8P5KG6aq1wNHgf9c99I3XlugLN4jpD4QkbALzDMtUj07XETGAgeB0sB7vmFNReSNi0zr7zPOU5vfdUAb3+b8PBEp6ctYVURGX0LGvX7MmNqy8gPhyTbjW+I7h8bBnBfTBe+vV0SkoIjMvUjGvMCxZEUm0Bm7ibdZbIyI5AnSnM8Ag0VkD97OP1/y5QyK/7mIFANuAn6+wDjp/p4G43ozkFsSqf36vZSqm16/0C9IVTsDBfH+4mjjGzZbVV8L1DIvUxRwRr2Hvo0CxgCo6kpVfdjRZP9P8X5wh4nICuAE4IagywmAiPQCkoBJAKq6X1VTbPd3yId4fxxUAg4Ab0NQ5nwceFZViwDPAp9AcPzPxbt/8TPgmX9bDFLi0HsadOvNQBaJ1CpvilXXoV/ocJGzw1XVzf83m1zqtJd8xnkaM+4FZvqGfQ5UuMyMhVMYnhYpLktVf1TV2qpaHViKty3YyZwpEpFOQGOgva+Z41IzHsHbiWX4ecP9TlUPqarb18Q4Cu8KIOhyAh35/8/m9MvMGbD/uYhE4C0Qk1R15sXGTya93tOgW28GzdFNDv5C/wUo6Wvzi8T7q3e2iFwPZ/dJNAU2pTDtbKCtiESJSHG8XaOvSG2e/s4IfAHc6RvndlJe+c4H6olIHl/TRD1gvnrPgP9bRGr6XuODwKw0ZEw1p4hcDSAiUUAPvDv3nMz5HyLSAG9vxk1V9VQqo6X4+nwFZTHepjTwriD9ntGXM3lvyvcCKfV15nhOvPsgbvfdrwNsTWGcdP2f++b1CbBRVYde5uTB8J7+R7qsN/21B/z8G3Az3n/4v49f8t0O8/9HkZwzzvnjJns83zduivP0Q9aGeFew2/F2XOgClgPr8H4JJ+E72glvwXgj2bS9fNNtJtkRGOfP098ZfcNyA1/5cv4IVPQNrwqMTjZtF7ybntvwnv1OsvF+983zfXznzQQg52C8TXab8W7i42ROYArepppEvL+qHvItcw+wxnf7yDduQWDuxf6veI96WeGbz3Qgyg/vZUo5P/X9v9fi/aFQIEhz3gqswnsU0M9AlSD4bN6Kt/lzbbL/c0O8xXYvEA8cwreOceI9JQjXm2l60y/yYsPxHtJWnP8/ZKys701MfrjYEylMW5ZzDy3dgfcQtBTnGajXYDe72c1u6XkLxvVmwJqb1Nt+1g1vNdsITFPV9XibG54TkW14jwz4BM5tW/ONNw3YAHwNPKnedtjU5mmMMSEvGNeb1i2HMcaYVAXNjmtjjDHBx4qEMcaYVPm9SEjqnWi96TtLdI2ILBCRgqlMf4eIzPF3LmOMCWaprTuTPf+8iKiI5Etl+oCsOwOxJZEEPK+qZfB20PWk7xTwwapaQVUrAXOAYDlr2RhjgkFq605EpAje80j+SO9Qfi8SmnonWslPf89Gyh3mnUO83SK/kOzx7yJSzHfbKCKjfBV3gYhk8fdrMcaY9JLautP39DC8J3te0pFG/lx3BroX2GIk60RLvNc+2AO0J+1bEiWBEapaFjhGyt1mGGNMyEm+7hSRZni7t/nNT7O/rHVnIHuB/U8nWqraS70dfk3Ce9xuWuxU1TW++6uAYmmcnzHGOC75uhNvE9TL+Ld5/rLWnQEpEpfQidYkfNVLROb7dmaPTmG8pPMyRie7H5/svhs/Xq/bGGOckMK68zq8Z0r/JiK78HYguFpE8qfXutPvK9bUOtESkZKq+m8nX83wdZinqvX/O5ezduHtlRMRqYz3zTLGmAwnpXWnqq4Drk42zi68V887jPeiTanZhZ/WnYH49V0LeABYJyJrfMNeBh4SkRsAD7AbeOwCmf6tdJ8BD4rIerz7NVLq5dQYYzKCFNedqjo39UnOEZB1Z9B1y+E7NriQqnZ3OosxxoSKQK07g6odX0Q+AcoBrZ3OYowxoSKQ686g25IwxhgTPKzvJmOMMamyImGMMSZVViSMMcakyoqEMcaYVFmRMMYYkyorEsYYY1L1f/nprlGHKWC+AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pyephemout = pvlib.solarposition.pyephem(times_loc, tus.latitude, tus.longitude)\n",
    "spaout = pvlib.solarposition.spa_python(times_loc, tus.latitude, tus.longitude)\n",
    "\n",
    "pyephemout['elevation'].plot(label='pyephem')\n",
    "pyephemout['apparent_elevation'].plot(label='pyephem apparent')\n",
    "spaout['elevation'].plot(label='spa')\n",
    "plt.legend(ncol=2)\n",
    "plt.title('elevation')\n",
    "\n",
    "print('pyephem')\n",
    "print(pyephemout.head())\n",
    "print('spa')\n",
    "print(spaout.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "pyephemout['elevation'].plot(label='pyephem')\n",
    "spaout['elevation'].plot(label='spa')\n",
    "(pyephemout['elevation'] - spaout['elevation']).plot(label='diff')\n",
    "plt.legend(ncol=3)\n",
    "plt.title('elevation')\n",
    "\n",
    "plt.figure()\n",
    "pyephemout['apparent_elevation'].plot(label='pyephem apparent')\n",
    "spaout['elevation'].plot(label='spa')\n",
    "(pyephemout['apparent_elevation'] - spaout['elevation']).plot(label='diff')\n",
    "plt.legend(ncol=3)\n",
    "plt.title('elevation')\n",
    "\n",
    "plt.figure()\n",
    "pyephemout['apparent_zenith'].plot(label='pyephem apparent')\n",
    "spaout['zenith'].plot(label='spa')\n",
    "(pyephemout['apparent_zenith'] - spaout['zenith']).plot(label='diff')\n",
    "plt.legend(ncol=3)\n",
    "plt.title('zenith')\n",
    "\n",
    "plt.figure()\n",
    "pyephemout['apparent_azimuth'].plot(label='pyephem apparent')\n",
    "spaout['azimuth'].plot(label='spa')\n",
    "(pyephemout['apparent_azimuth'] - spaout['azimuth']).plot(label='diff')\n",
    "plt.legend(ncol=3)\n",
    "plt.title('azimuth');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pyephem\n",
      "                           apparent_elevation  apparent_azimuth  elevation  \\\n",
      "2014-06-23 00:00:00-06:00          -25.154820        344.064195 -25.154820   \n",
      "2014-06-23 00:01:00-06:00          -25.207201        344.310956 -25.207201   \n",
      "2014-06-23 00:02:00-06:00          -25.258784        344.558018 -25.258784   \n",
      "2014-06-23 00:03:00-06:00          -25.309568        344.805380 -25.309568   \n",
      "2014-06-23 00:04:00-06:00          -25.359550        345.053043 -25.359550   \n",
      "\n",
      "                              azimuth  apparent_zenith      zenith  \n",
      "2014-06-23 00:00:00-06:00  344.064195       115.154820  115.154820  \n",
      "2014-06-23 00:01:00-06:00  344.310956       115.207201  115.207201  \n",
      "2014-06-23 00:02:00-06:00  344.558018       115.258784  115.258784  \n",
      "2014-06-23 00:03:00-06:00  344.805380       115.309568  115.309568  \n",
      "2014-06-23 00:04:00-06:00  345.053043       115.359550  115.359550  \n",
      "spa\n",
      "                           apparent_zenith      zenith  apparent_elevation  \\\n",
      "2014-06-23 00:00:00-06:00       115.154766  115.154766          -25.154766   \n",
      "2014-06-23 00:01:00-06:00       115.207146  115.207146          -25.207146   \n",
      "2014-06-23 00:02:00-06:00       115.258730  115.258730          -25.258730   \n",
      "2014-06-23 00:03:00-06:00       115.309514  115.309514          -25.309514   \n",
      "2014-06-23 00:04:00-06:00       115.359497  115.359497          -25.359497   \n",
      "\n",
      "                           elevation     azimuth  equation_of_time  \n",
      "2014-06-23 00:00:00-06:00 -25.154766  344.064134         -2.141078  \n",
      "2014-06-23 00:01:00-06:00 -25.207146  344.310880         -2.141229  \n",
      "2014-06-23 00:02:00-06:00 -25.258730  344.557936         -2.141380  \n",
      "2014-06-23 00:03:00-06:00 -25.309514  344.805299         -2.141531  \n",
      "2014-06-23 00:04:00-06:00 -25.359497  345.052965         -2.141682  \n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pyephemout = pvlib.solarposition.pyephem(times.tz_localize(golden.tz), golden.latitude, golden.longitude)\n",
    "spaout = pvlib.solarposition.spa_python(times.tz_localize(golden.tz), golden.latitude, golden.longitude)\n",
    "\n",
    "pyephemout['elevation'].plot(label='pyephem')\n",
    "pyephemout['apparent_elevation'].plot(label='pyephem apparent')\n",
    "spaout['elevation'].plot(label='spa')\n",
    "plt.legend(ncol=2)\n",
    "plt.title('elevation')\n",
    "\n",
    "print('pyephem')\n",
    "print(pyephemout.head())\n",
    "print('spa')\n",
    "print(spaout.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pyephem\n",
      "                           apparent_elevation  apparent_azimuth  elevation  \\\n",
      "2014-06-23 00:00:00-06:00          -25.154820        344.064195 -25.154820   \n",
      "2014-06-23 00:01:00-06:00          -25.207201        344.310956 -25.207201   \n",
      "2014-06-23 00:02:00-06:00          -25.258784        344.558018 -25.258784   \n",
      "2014-06-23 00:03:00-06:00          -25.309568        344.805380 -25.309568   \n",
      "2014-06-23 00:04:00-06:00          -25.359550        345.053043 -25.359550   \n",
      "\n",
      "                              azimuth  apparent_zenith      zenith  \n",
      "2014-06-23 00:00:00-06:00  344.064195       115.154820  115.154820  \n",
      "2014-06-23 00:01:00-06:00  344.310956       115.207201  115.207201  \n",
      "2014-06-23 00:02:00-06:00  344.558018       115.258784  115.258784  \n",
      "2014-06-23 00:03:00-06:00  344.805380       115.309568  115.309568  \n",
      "2014-06-23 00:04:00-06:00  345.053043       115.359550  115.359550  \n",
      "ephem\n",
      "                           apparent_elevation  elevation     azimuth  \\\n",
      "2014-06-23 00:00:00-06:00          -25.149499 -25.149499  344.061394   \n",
      "2014-06-23 00:01:00-06:00          -25.201890 -25.201890  344.308126   \n",
      "2014-06-23 00:02:00-06:00          -25.253483 -25.253483  344.555170   \n",
      "2014-06-23 00:03:00-06:00          -25.304277 -25.304277  344.802520   \n",
      "2014-06-23 00:04:00-06:00          -25.354270 -25.354270  345.050172   \n",
      "\n",
      "                           apparent_zenith      zenith  solar_time  \n",
      "2014-06-23 00:00:00-06:00       115.149499  115.149499   22.952125  \n",
      "2014-06-23 00:01:00-06:00       115.201890  115.201890   22.968789  \n",
      "2014-06-23 00:02:00-06:00       115.253483  115.253483   22.985453  \n",
      "2014-06-23 00:03:00-06:00       115.304277  115.304277   23.002118  \n",
      "2014-06-23 00:04:00-06:00       115.354270  115.354270   23.018782  \n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pyephemout = pvlib.solarposition.pyephem(times.tz_localize(golden.tz), golden.latitude, golden.longitude)\n",
    "ephemout = pvlib.solarposition.ephemeris(times.tz_localize(golden.tz), golden.latitude, golden.longitude)\n",
    "\n",
    "pyephemout['elevation'].plot(label='pyephem')\n",
    "pyephemout['apparent_elevation'].plot(label='pyephem apparent')\n",
    "ephemout['elevation'].plot(label='ephem')\n",
    "plt.legend(ncol=2)\n",
    "plt.title('elevation')\n",
    "\n",
    "print('pyephem')\n",
    "print(pyephemout.head())\n",
    "print('ephem')\n",
    "print(ephemout.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pyephem\n",
      "                           apparent_elevation  apparent_azimuth  elevation  \\\n",
      "2014-06-23 00:00:00+02:00          -12.598822        343.918876 -12.598822   \n",
      "2014-06-23 00:01:00+02:00          -12.640668        344.149982 -12.640668   \n",
      "2014-06-23 00:02:00+02:00          -12.681923        344.381225 -12.681923   \n",
      "2014-06-23 00:03:00+02:00          -12.722587        344.612605 -12.722587   \n",
      "2014-06-23 00:04:00+02:00          -12.762658        344.844121 -12.762658   \n",
      "\n",
      "                              azimuth  apparent_zenith      zenith  \n",
      "2014-06-23 00:00:00+02:00  343.918876       102.598822  102.598822  \n",
      "2014-06-23 00:01:00+02:00  344.149982       102.640668  102.640668  \n",
      "2014-06-23 00:02:00+02:00  344.381225       102.681923  102.681923  \n",
      "2014-06-23 00:03:00+02:00  344.612605       102.722587  102.722587  \n",
      "2014-06-23 00:04:00+02:00  344.844121       102.762658  102.762658  \n",
      "ephem\n",
      "                           apparent_elevation  elevation     azimuth  \\\n",
      "2014-06-23 00:00:00+02:00          -12.593452 -12.593452  343.916041   \n",
      "2014-06-23 00:01:00+02:00          -12.635306 -12.635306  344.147120   \n",
      "2014-06-23 00:02:00+02:00          -12.676569 -12.676569  344.378348   \n",
      "2014-06-23 00:03:00+02:00          -12.717240 -12.717240  344.609723   \n",
      "2014-06-23 00:04:00+02:00          -12.757320 -12.757320  344.841244   \n",
      "\n",
      "                           apparent_zenith      zenith  solar_time  \n",
      "2014-06-23 00:00:00+02:00       102.593452  102.593452   22.857453  \n",
      "2014-06-23 00:01:00+02:00       102.635306  102.635306   22.874117  \n",
      "2014-06-23 00:02:00+02:00       102.676569  102.676569   22.890781  \n",
      "2014-06-23 00:03:00+02:00       102.717240  102.717240   22.907446  \n",
      "2014-06-23 00:04:00+02:00       102.757320  102.757320   22.924110  \n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "loc = berlin\n",
    "\n",
    "pyephemout = pvlib.solarposition.pyephem(times.tz_localize(loc.tz), loc.latitude, loc.longitude)\n",
    "ephemout = pvlib.solarposition.ephemeris(times.tz_localize(loc.tz), loc.latitude, loc.longitude)\n",
    "\n",
    "pyephemout['elevation'].plot(label='pyephem')\n",
    "pyephemout['apparent_elevation'].plot(label='pyephem apparent')\n",
    "ephemout['elevation'].plot(label='ephem')\n",
    "ephemout['apparent_elevation'].plot(label='ephem apparent')\n",
    "plt.legend(ncol=2)\n",
    "plt.title('elevation')\n",
    "\n",
    "print('pyephem')\n",
    "print(pyephemout.head())\n",
    "print('ephem')\n",
    "print(ephemout.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pyephem\n",
      "                           apparent_elevation  apparent_azimuth  elevation  \\\n",
      "2015-03-28 00:00:00+01:00          -34.669825        356.421155 -34.669825   \n",
      "2015-03-28 00:05:00+01:00          -34.705895        357.939260 -34.705895   \n",
      "2015-03-28 00:10:00+01:00          -34.721813        359.458321 -34.721813   \n",
      "2015-03-28 00:15:00+01:00          -34.717561          0.977630 -34.717561   \n",
      "2015-03-28 00:20:00+01:00          -34.693143          2.496380 -34.693143   \n",
      "\n",
      "                              azimuth  apparent_zenith      zenith  \n",
      "2015-03-28 00:00:00+01:00  356.421155       124.669825  124.669825  \n",
      "2015-03-28 00:05:00+01:00  357.939260       124.705895  124.705895  \n",
      "2015-03-28 00:10:00+01:00  359.458321       124.721813  124.721813  \n",
      "2015-03-28 00:15:00+01:00    0.977630       124.717561  124.717561  \n",
      "2015-03-28 00:20:00+01:00    2.496380       124.693143  124.693143  \n",
      "ephem\n",
      "                           apparent_elevation  elevation     azimuth  \\\n",
      "2015-03-28 00:00:00+01:00          -34.667077 -34.667077  356.419216   \n",
      "2015-03-28 00:05:00+01:00          -34.703175 -34.703175  357.937292   \n",
      "2015-03-28 00:10:00+01:00          -34.719120 -34.719120  359.456355   \n",
      "2015-03-28 00:15:00+01:00          -34.714893 -34.714893    0.975640   \n",
      "2015-03-28 00:20:00+01:00          -34.690500 -34.690500    2.494378   \n",
      "\n",
      "                           apparent_zenith      zenith  solar_time  \n",
      "2015-03-28 00:00:00+01:00       124.667077  124.667077   23.803474  \n",
      "2015-03-28 00:05:00+01:00       124.703175  124.703175   23.886825  \n",
      "2015-03-28 00:10:00+01:00       124.719120  124.719120   23.970175  \n",
      "2015-03-28 00:15:00+01:00       124.714893  124.714893    0.053526  \n",
      "2015-03-28 00:20:00+01:00       124.690500  124.690500    0.136877  \n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "loc = berlin\n",
    "times = pd.date_range(start=datetime.date(2015,3,28), end=datetime.date(2015,3,29), freq='5min')\n",
    "\n",
    "pyephemout = pvlib.solarposition.pyephem(times.tz_localize(loc.tz), loc.latitude, loc.longitude)\n",
    "ephemout = pvlib.solarposition.ephemeris(times.tz_localize(loc.tz), loc.latitude, loc.longitude)\n",
    "\n",
    "pyephemout['elevation'].plot(label='pyephem')\n",
    "pyephemout['apparent_elevation'].plot(label='pyephem apparent')\n",
    "ephemout['elevation'].plot(label='ephem')\n",
    "plt.legend(ncol=2)\n",
    "plt.title('elevation')\n",
    "\n",
    "plt.figure()\n",
    "pyephemout['azimuth'].plot(label='pyephem')\n",
    "ephemout['azimuth'].plot(label='ephem')\n",
    "plt.legend(ncol=2)\n",
    "plt.title('azimuth')\n",
    "\n",
    "print('pyephem')\n",
    "print(pyephemout.head())\n",
    "print('ephem')\n",
    "print(ephemout.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pyephem\n",
      "                           apparent_elevation  apparent_azimuth  elevation  \\\n",
      "2015-03-30 00:00:00+02:00          -31.976429        338.920871 -31.976429   \n",
      "2015-03-30 00:05:00+02:00          -32.239797        340.360894 -32.239797   \n",
      "2015-03-30 00:10:00+02:00          -32.485100        341.809413 -32.485100   \n",
      "2015-03-30 00:15:00+02:00          -32.712074        343.265937 -32.712074   \n",
      "2015-03-30 00:20:00+02:00          -32.920477        344.729920 -32.920477   \n",
      "\n",
      "                              azimuth  apparent_zenith      zenith  \n",
      "2015-03-30 00:00:00+02:00  338.920871       121.976429  121.976429  \n",
      "2015-03-30 00:05:00+02:00  340.360894       122.239797  122.239797  \n",
      "2015-03-30 00:10:00+02:00  341.809413       122.485100  122.485100  \n",
      "2015-03-30 00:15:00+02:00  343.265937       122.712074  122.712074  \n",
      "2015-03-30 00:20:00+02:00  344.729920       122.920477  122.920477  \n",
      "ephem\n",
      "                           apparent_elevation  elevation     azimuth  \\\n",
      "2015-03-30 00:00:00+02:00          -31.973191 -31.973191  338.919052   \n",
      "2015-03-30 00:05:00+02:00          -32.236587 -32.236587  340.359056   \n",
      "2015-03-30 00:10:00+02:00          -32.481918 -32.481918  341.807546   \n",
      "2015-03-30 00:15:00+02:00          -32.708921 -32.708921  343.264033   \n",
      "2015-03-30 00:20:00+02:00          -32.917353 -32.917353  344.727991   \n",
      "\n",
      "                           apparent_zenith      zenith  solar_time  \n",
      "2015-03-30 00:00:00+02:00       121.973191  121.973191   22.813319  \n",
      "2015-03-30 00:05:00+02:00       122.236587  122.236587   22.896670  \n",
      "2015-03-30 00:10:00+02:00       122.481918  122.481918   22.980021  \n",
      "2015-03-30 00:15:00+02:00       122.708921  122.708921   23.063372  \n",
      "2015-03-30 00:20:00+02:00       122.917353  122.917353   23.146722  \n"
     ]
    },
    {
     "data": {
      "image/png": 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LLmok5Oe/rQY5HSfXKlm0BF1L9eDnCBevzLBdULmNFQoTtBLjTzDi+4FEKjx/+wRcLvu6OqlL0z40SCzG52G/8umXY52OY7KR/eeZoDViRje2Rgl3FmpFxVKZ7rneBNCL7SZTNAXe2fkmx08ccjqOySZWKExQWrdxEbM9W6mWEE2fNoOdjmN8ihctyX9KdOGXCOF/M7o4HcdkEysUJugkJyXyxrf9CVN4tslo2+UUZLo2f5o6CYVY6N7H6rXWIWNuYP+BJui8ObMXm6M8tIu+laplajodx6RhQMsPyOuBNzcMJjnhlNNxTIBZoTBBZeeeNcxOWMPVCeE82X6k03FMOq4qUY62hVqxLVIYOaO703FMgFmhMMFDldeXPkKiCI9f/wYut9vpRCYDT7QZzNUJeZid8iNbt69wOo4JICsUJmhMWfAc30Ql0NhVleurNnQ6jjkPl8vFU7eMIhlh2Jd97Ip4OZg/rpldWkSWi8hWEdkiIo/5hhcRkSUissv3t3DW45qc6lDcXj6Mm0vJJOH5uyY4HcdkUt0K9bg9vA7ropKZMPdpp+OYAPHHFkUy8KSqVgbqAY+ISGXgGWCZqpYHlvkeG5OmYXO78Ue4mx6VniY6T16n45gL8Oxd71E20cVHRxcT+/sOp+OYAPDHNbN/V9XvffePA9uAkkBrYKJvtIlAm6wuy+RMy1aO5fOIg1yfVIION1j3EKEmKiKK3jVe5KhbGPpJD6fjmADwaxuFiJQBrgHWAJeq6u++p/4ALk1nmp4isk5E1sXFxfkzjgkBifEneWf7mxRIgedaj3c6jrlITeq245aUMqyIPMrCZaOcjmP8zG+FQkTyAXOAx1X1WOrnVFUBTWs6VR2jqrVVtXZMTIy/4pgQMXxmD3ZFCu2LtaN0TCmn45gseLb9BxRLVsb+9D7xp444Hcf4kV8KhYiE4y0SU1T1Y9/gP0WkuO/54oD1TWzOsnXnauam/Ei1hDz0vuMlp+OYLLqkYAx3XdqZnyJcvDmjm9NxjB/546gnAcYD21R1eKqnFgCnO4PpAszP6rJMDqLKiOWPk4zwxE0jrJuOHOLB2/tRJSEfH7OTbduWOR3H+Ik//jsbAPcBt4rIBt/tduA1oLGI7AIa+R4bA8CMT1/m26h4GruqUrtSA6fjGD9xuVw82fBNkhFGrHwaNM09zibE+OOop1WqKqpaXVVr+m6LVPWQqt6mquVVtZGq/uWPwCb0HT/2JxP/mMFlSdC/wxin4xg/q1O+Lo3CruGbqCSmLXjO6TjGD2x732S7EbO680u4i85X9KRg3gJOxzEB8FyH0ZRIEj6Mm8uRw785HcdkkRUKk602blzIJ6591EwoSNfG/3U6jgmQ/FHR/Oeq//JbuJs35ljDdqizQmGyjyeFt74ZAAhPNn7X6TQmwDo3fIDaCUX4NOxX1qyf63QckwVWKEy2mTr3adbk8XBbRF1qlq3udByTDZ5p8T4RHnhr3Ut4kpOcjmMukhUKky2OHPqZiYc/p0SSi+fvtK2J3KJiyUq0zHsTG6M8jP24j9NxzEWyQmGyxYi5Pfgt3M1/yj9OdFSU03FMNup755uUTXQz/fhyDhzY43QccxGsUJiAW//9PBa6f6dWYlE632wNm7lNRHg43as8w8EwFyPn3e90HHMRrFCYgPKkJDPquxcJA55pNtrpOMYhba7vyHWJl/JZRBxr1kx1Oo65QFYoTEBNnNeP76M8NIusz9WlKzkdxziob8v3ifTAuxuG4ElOdDqOuQBWKEzA/HUolilHPqd0ovBM+7edjmMcVqH4VTTJewvfR8HkuU86HcdcACsUJmCGz72fP8NcdKvQhzwRkU7HMUGgf7s3KJno5qOjyzhycJ/TcUwmWaEwAfHDps/4zB1LnYTCdLAGbOOTJyKS/1R8kj/C3Yycaw3bocIKhfE/Vd755lncwBNNbZeTOds9N93HNYnF+CTsD3743s7YDgVWKIzfzVz4Emuikrkt7BqqXmFnYJt/69vsHVzAu2tfAk+K03HMeVihMH516sQhJv0xm0uT4Bk7A9uko2rpytwWcR3f5vEwbf4zTscx52GFwvjV27PuZ3+Eiw6lulEwb36n45ggNuDOt7gsSZh06FNOHPnd6TgmA1YojN/8tGs1c3UnVydE80CTx52OY4Jc/qi8dCr7MLHhbkbN6eF0HJMBvxQKEZkgIgdEZHOqYUVEZImI7PL9LeyPZZkgpcpbyx7nb5fw3xuG2TWwTaZ0v60X1RILMs+1n22bFzsdx6TDX//NHwLNzhn2DLBMVcsDy3yPTQ61dNkIlkX9TQOtwI2Vb3Q6jgkhfRqOIgXhrVX97BrbQcovhUJVVwLnXhO7NTDRd38i0MYfyzLBx5NwgrF7xlEwRXiu3ftOxzEhpk65WtzirsFXeZKZt2ig03FMGgK5f+BSVT3dQvUHcGkAl2UcNG5WL7ZGubm9SFuKF4xxOo4JQc/dOZqYJJjw20ziTxx0Oo45R7bsSFZVBdLcphSRniKyTkTWxcXFZUcc40cHYjcxLeF7rkiM5OlWLzodx4SowtH5ubNEF/ZGuHln1gNOxzHnCGSh+FNEigP4/h5IayRVHaOqtVW1dkyM/RoNNW9/+hAHw9z0uOZFwtxup+OYEPZQsyeomBDNHN3J3t1fOx3HpBLIQrEA6OK73wWYH8BlGQesWz2eTyKPUiupFG1r3+F0HBPiXC4XvRsM45RLeGvpY9awHUT8dXjsNOAboKKIxIpID+A1oLGI7AIa+R6bnCIpntE/DidcoX8LOwPb+MctVW7keq3A0qi/WbZshNNxjI+/jnrqpKrFVTVcVUup6nhVPaSqt6lqeVVtpKrnHhVlQtjMuY+zJo+LhnlupVLxsk7HMTnIgLbvUzBFGLNnHCkJx52OY7Azs81FOBm3m4nHvuTSpDBeaDvM6TgmhylZKIbbi7Rla5SbcbN6OR3HYIXCXIT35vXk5/Aw7i7/ONGRdkEi439Pt3qRMomRTEv4gQOxG52Ok+tZoTAXZNf3s5gV9icVE4vxwM1dzj+BMRchzO2mxzUvcSjMzahPH3I6Tq5nhcJkXnIi760ZRKIIT9460uk0JodrU7sltZNL8WnkMdasGut0nFzNCoXJtKULn2VJXrjOXYf6V9VwOo7JBfq3HE2EwujNI/EknnI6Tq5lhcJkSvKRWMYcWEjBZBcvt33T6Tgml6hw6RXcmrcR6/K4mPHxo07HybWsUJhM+WD2/WyLDKdFiW7E5CvgdByTizzfbiiXJYUz8cRqjv2+zek4uZIVCnNef25ZxGTXz5RKzE+/pvarzmSvvOGR3FPpKX4ND+O9BQ/YGdsOsEJhMpaSxOgvn+Gwy8XD9f5nFyQyjuh2wz1USrqUORGH2b5m4vknMH5l//UmQ+u+GMy8vB6qUZk7qt3gdByTi/Vr/DYpCO/+8D+whu1sZYXCpMtz7Hfe/3k64R4XA1taA7ZxVu0rKlEv8kaW53Xz2bzHnY6Tq1ihMOmaN6cX3+aJ4KbC7ShXrLjTcYxhcJvXKZwcxpijK4n/wxq2s4sVCpOmE7tXMC5lB8WS8jCoZX+n4xgDQOG80bQu8wi7I8L5cJ41bGcXKxTm35ITmfDF4/wSHs49VZ8lb7j152SCR5+G3bk8sRgfRfxF7HeTnI6TK1ihMP/y09LBTM6bRJnkK3igXhun4xhzFpfLRZ+b3+CEy83o716DhBNOR8rxrFCYsx3aw/t7ppKEi+caD3c6jTFpalShFtXddVkQ7ebr+U84HSfHs0Jh/qHK13MeYFG+PFTP24zrLq/gdCJj0jXkjmHk8YTx3uEVeGLXOx0nR7NCYc5I/mEKbxJLnuRIXm/xvNNxjMlQqUJFaFT8fjZERTJ73gOQnOh0pBwr4IVCRJqJyA4R2S0izwR6eeYiHf+TOV++xNbISFqUfdT6czIh4aUmD1E4qRij8/zN4eVDnY6TYwW0UIiIG3gHaA5UBjqJSOVALtNcBFX+mvsg7xaMoGByKZ6/5V6nExmTKeFuN72vG0xcWBgTto2H3zY4HSlHCvQWRV1gt6r+pKqJwHSgdYCXaS7UugmMP/IDf7nc9Lt+oPXnZELKXdUaUNpVj8kF8rFrdldIPOl0pBwn0GuEksAvqR7H+oadISI9RWSdiKyLi4sLcBzzLwd3sWfZC0wuUIDLw2/hjqvrOp3ImAs2vOlLqEYwPPwE+pnt4fY3x386quoYVa2tqrVjYmKcjpO7JBzHM/0ehhTKj3oiebPZAKcTGXNRKl1SkvrF7mVV3jys3D4TNs1yOlKOEuhC8StQOtXjUr5hxmkeD8ztxYpTv7ImTzg3XnIv5Ype5nQqYy7a600fwZ18KYOKXkr8/EfADpn1m0AXiu+A8iJSVkQigI7AggAv02TGymEkbl/I80VL4U6+jGFNH3I6kTFZEh0RSa9qT3IgXBlXqBhMvweO/eZ0rBwhoIVCVZOB3sAXwDZgpqpuCeQyTSZs+wRWvMrwknU4FvY3D1d/wvpzMjlCr7rNKUwtxuSL5PfkkzCtozVu+0HA2yhUdZGqVlDVq1T1lUAvz5zHH5vh4wf57bIaTAk7TGGuoWed5k6nMsZvXr/1eTxA70vrwB8/wtxe1stsFjnemG2yUXKid3M8qgAP5L0KxcOwhs85ncoYv6pbuhw1C7Rhp2s3n1XvCtsWwIapTscKaVYocpO9K+HIfj6t1oOfdR3V899h/TmZHGlU8yeQ5EIM+GsbyZfXgy+ehZRkp2OFLCsUucnWuSRH5OfF2BVISkHebPaU04mMCYgiefPTqdwjJIX9ymvRFSD+CPz2vdOxQpYVitwiJQm2f8rYS6qS4P6Z9mV7WX9OJkfrd+NdRHsqMvPkGg673PDTCqcjhSwrFLnFvq84knCUsa448noq8NzN9zidyJiAcrlcDLrhOTyuBP4Xc7kViiywQpFbbJ3P8CJFSXQlM/iG560/J5MrNClfk3KRTfg0Twrb/vge4o85HSkk2doiN0hJZuPOT5mXLw8VoprTuHxNpxMZk23eav4Mbk8UrxXJj+fH2U7HCUlWKHKB5J++ZGg+FxEpUbzTop/TcYzJVqULFaVxiQf4PiqKOWvftXMqLoIVilxg0v8N5MeoSFpd/iDF8xd2Oo4x2W5wo+7EJBVgdNRJ/tq9wuk4IccKRQ736/ZlfBB+kFKJhXjutu5OxzHGERFhYfSq9QIHwsJ4e1k/26q4QFYocrgRK/pz3OXi8euHWAO2ydXuqtWUGsmlmRd1ivXfTnQ6TkixNUcOtuTL0SyOOkV9z1U0rXKD03GMcdyzt79NmMI7m4Z7u9o3mWKFIodKTkpg9I53KOiBAa1HOx3HmKBQufiVNI6oz3dRyuRPrJ+zzLJCkUO9Nfu/7IyEtgWaUapocafjGBM0nr1zFCWTYFLcfI4c/dPpOCHBCkUOFPv7bj7+ezUVEtw81mao03GMCSrRUXnoUvYhfg93MXSOHeCRGVYocqBhC3tyzCX0qvk87jC303GMCTqdbnuYegmF+Ny1n9UbPnU6TtCzQpHDfPH1FFaEH+DmpEtpXPdOp+MYE7T6NhtNHo8yau1zeFJSnI4T1LJUKESkg4hsERGPiNQ+57n+IrJbRHaISNOsxTSZkZiYwHtbhlIoRenXerzTcYwJauUvr0KbqPpsjUzmrXl9nY4T1LK6RbEZaAesTD1QRCoDHYEqQDPgXRGxfSAB9vqsB9kTodxV+HZKXlLG6TjGBL0nOrxLxQRh9tHP+eXPfU7HCVpZKhSquk1Vd6TxVGtguqomqOpeYDdQNyvLMhnb+tN65id+R7WEcB5q/ZrTcYwJCWHhEfSq2pfjLmHIAmvYTk+g2ihKAr+kehzrG/YvItJTRNaJyLq4uLgAxcn5Xl/6MCkIj9cfhsttG2/GZFaj6+/ltqTifBURx/yvbJdtWs5bKERkqYhsTuPW2h8BVHWMqtZW1doxMTH+mGWuM3HRq3wXeYpmVKRutducjmNMyOnb7gNikj2M2z6S+PiTTscJOuctFKraSFWrpnGbn8FkvwKlUz0u5Rtm/Ozw0Tg++m0qpROVZ+6a4HQcY0LSpUVL0bFoW/ZFwLCZDzgdJ+gEatfTAqCjiESKSFmgPLA2QMvK1V6d3ZU/w4VuZXuRL7qg03GMCVn3txpEzfgoPknZyOadq5yOE1SyenhsWxGJBeoDn4rIFwCqugWYCWwFPgceUVU7UNnPvlw/j6Xu/TRIKESHRr2djmNMSHO5XPS5eSQehGHLH7NzK1LJ6lFPc1W1lKpGquqlqto01XOvqOpVqlpRVT/LelSTWnJyEm+vf4loj9KvxVin4xiTI9Sq1IAWYdfwfVQiYxf0dzpO0LAzs0PUm7MfY3tkCu2ib6FsyUpOxzEmx+h/1xiuTBCmHP6U2N93Ox0nKFihCEG7fv6Rj099SaUEN4+3H+V0HGNylKjIPPSu/hzHXMLgT+zcCrBCEZJe+/wB/nYJj9UZbOdMGBMAjevdRZOUy1kdeZipS+3HmBWKEDNuwQusjTzJ7VTkhmtaOh3HmBzr2Q4TKZnkYcK+MRw+dsjpOI6yQhFCYg/sY3LcHMokwrMdJzkdx5gcrVCBGHpc3oM/w4WXZ93ndBxHWaEIIa/O78Jht/BI5X7kjYp2Oo4xOV6HJk9wc0Jhlrl/5rOvJzsdxzFWKELE9CUj+SriLxonl6ZZg3udjmNMrtG/zSQKpyjvbhnKqfgTTsdxhBWKEHD4aBzj94+jRJIy4K6PnI5jTK5S8pIy3BPTgX0RMGRa7twFZYUiBAyedR9/hAv3l3mQwgWKOR3HmFynZ6uXqJuQn4Wyi6XfznQ6TrazQhHkPl01kaVhsdycWJQOjf7rdBxjcq3nW35IgRTlzR9f5uSp3LULygpFEDt+8gjvbnudIinKs20mOh3HmFytTIkKdPHtgho0I3e1E1qhCGKDpt/DzxHQ9bJ7KBFzhdNxjMn1urd6iRvi8/OF7GbRN9OdjpNtrFAEqflfjmOx+2duTChClxYDnI5jjPF5rtUkiqQob21+hWOnjjgdJ1tYoQhCh4/G8e6ukcQkKy+0y73HbhsTjEoWL0ePS+8mNgJemtbZ6TjZwgpFEBo4sxO/hQsPXPEAlxUrff4JjDHZqnPLF7g5oTBL3fuZvzLnd/NvhSLIzFgykmURf3Jb4qXc3fhxp+MYY9LxXLupXJKsvLvzTf468ofTcQLKCkUQ+fNQLGP3j6VEkvLiXdOcjmOMycBlxUrR84pe/B4GL87q6HScgMrqpVCHich2EdkkInNFpFCq5/qLyG4R2SEiTTOYjfF5cU4n4sKEh8s9RuGCMU7HMcacx12N/0uTlNKsiDjEuE9ecjpOwGR1i2IJUFVVqwM7gf4AIlIZ6AhUAZoB74qIXTghA+9+3JfVkUdo7ilL61secDqOMSaTBnacwVUJ8EHcLLbu+8HpOAGR1WtmL1bVZN/Db4FSvvutgemqmqCqe4HdQN2sLCsn27hzNR8d+ZQKCcKL9+SeY7ONyQmiowvQt/arJAoMWnw/ycnJ558oxPizjaI78Jnvfkngl1TPxfqGmXMkJiYweMUjeAT6NxhJHus+3JiQc32tO+gYWZ8tkYm8MvU/Tsfxu/MWChFZKiKb07i1TjXOACAZmHKhAUSkp4isE5F1cXFxFzp5yBs05R62R6ZwT3Qjale51ek4xpiL1Ofu96kdn4d5nk0szmHXrjhvoVDVRqpaNY3bfAAR6Qq0BDqrqvom+xVIfQJAKd+wtOY/RlVrq2rtmJjc1YA7f+U4FsoO6sXn4793Dnc6jjEmC1xuNwNbTaVQijJ86xD+PPjL+ScKEVk96qkZ0BdopaqnUj21AOgoIpEiUhYoD6zNyrJymt/i9vPOzpEUS1ZeajsNl9va+o0JdZcXL8dDZXrzR5jw7Mcd8KSkOB3JL7LaRvE2kB9YIiIbRGQ0gKpuAWYCW4HPgUdUNWe8Y37gSUnh2Y87cCAMel/1KCUvKeN0JGOMn9x120O0lsqsjTzJkBk9nY7jF1k96qmcqpZW1Zq+W69Uz72iqlepakVV/Syj+eQ2r0ztwvqov2nnqk6bhg86HccY42fPd55CrfgIZieu4ZPVF9x0G3TszOxsNn/FGD5O2cC18VE819kua2pMThQWFs7gllMomqyM3D6En3/f6XSkLLFCkY32xm5j5J43iUmGwW1nWbuEMTlY6ZKVeKJSXw674dkFnUhOSnQ60kWzQpFNEhMTeHZRZ465hKeqDKCUtUsYk+PdfkMX2kfUY2NUIgM/au90nIsW5nSA3OLFKXezOTKJ/0Q0oEn9TmeGJyUlERsbS3x8vIPpjMkZoqKiKFWqFOHh4U5HOeOZjmP4adzNzIvcyxULXuD+VoOcjnTBrFBkg7ELXmChaw8NEgrw5L3vnvVcbGws+fPnp0yZMoiIQwmNCX2qyqFDh4iNjaVs2bJOxznD5XLxeqf5dJ1+C2MPzaHc93W4pdYdTse6ILbrKcCWr5vL2ENzKJ8gDO204F/tEvHx8RQtWtSKhDFZJCIULVo0KLfOC+UvwisNxxHlgcHf9w+5xm0rFAG077cdvLrhefJ6YHCjCRTMXzTN8axIGOMfwfy/VKVcXZ4s9xh/hUG/T+7mVPwJpyNlmhWKADkVf5J+CzvylxueLP8Ela+s7XQkY4zDWt3ck3vz3srmyGSemNQ8ZM7ctkIRAJ6UFJ6c1JytkcncF30rd9zUw+lIjuratSuzZ892OoZx2C233MK6deucjuG4J+4aRcuUK1kdeYQBH93tdJxMsUIRAM9/dBerIg/TIqUsj981yuk4xpgg80qXj7khPj8LZQcjZj3udJzzskLhZyNnPcoC2cn1CQV4tctcp+Nkyr59+6hUqRKdO3fm6quvpn379ixatIg2bdqcGWfJkiW0bdsWgMWLF1O/fn1q1apFhw4dOHHCu6+1TJky9O3bl2rVqlG3bl127959ZvqVK1dy/fXXc+WVV561dTFs2DDq1KlD9erVefHFF8/K07VrVypUqEDnzp1ZunQpDRo0oHz58qxda/1LBovJkydTt25datasyYMPPkhKSgr58uWjT58+VKlShdtuu43Ulw+YNWsWdevWpUKFCnz11VcApKSk8PTTT5/5Hrz//vsArFixgptvvpnWrVtz5ZVX8swzzzBlyhTq1q1LtWrV2LNnjyOv2R9cbjev3/sZVePDmHRyKVM/G+p0pAzZ4bF+NH3xcCae/D+qJoYz/N7PL/jM64GfbGHrb8f8mqlyiQK8eEeV8463Y8cOxo8fT4MGDejevTtbtmxh+/btxMXFERMTwwcffED37t05ePAggwcPZunSpURHRzN06FCGDx/OCy+8AEDBggX58ccfmTRpEo8//jgLFy4E4Pfff2fVqlVs376dVq1a0b59exYvXsyuXbtYu3YtqkqrVq1YuXIll19+Obt372bWrFlMmDCBOnXqMHXqVFatWsWCBQt49dVXmTdvnl/fp1A3dO1Qtv+13a/zrFSkEv3q9kv3+W3btjFjxgxWr15NeHg4Dz/8MFOmTOHkyZPUrl2bESNGMGjQIAYOHMjbb78NQHJyMmvXrmXRokUMHDiQpUuXMn78eAoWLMh3331HQkICDRo0oEmTJgBs3LiRbdu2UaRIEa688kruv/9+1q5dy5tvvslbb73FyJEj/fqas1N0dEHeaDePB+e1ZMQfk8izohBtbwnOvt9si8JPPlk5geG/jqdkkvBG23lE583vdKQLUrp0aRo0aADAvffey+rVq7nvvvuYPHkyR44c4ZtvvqF58+Z8++23bN26lQYNGlCzZk0mTpzI/v37z8ynU6dOZ/5+8803Z4a3adMGl8tF5cqV+fPPPwHvlsnixYu55pprqFWrFtu3b2fXrl0AlC1blmrVquFyuc78MhURqlWrxr59+7LpXTEZWbZsGevXr6dOnTrUrFmTZcuW8dNPP+Fyubj7bu++93vvvZdVq1admaZdu3YAXHvttWc+x8WLFzNp0iRq1qzJddddx6FDh858D+rUqUPx4sWJjIzkqquuOlNAcsr3oETMFbzeZDJFU4She0fx+ZqZTkdKk21R+MGSNTMZsvsNCnuENxpNokTMFRc1n8z88g+Ucw8rFBG6devGHXfcQVRUFB06dCAsLAxVpXHjxkybNu2880l9PzIy8sz909e3UlX69+/Pgw+e/Stq3759Z43vcrnOPHa5XDnymsRZldEv/0BRVbp06cKQIUPOGv7yyy+f9Tit74Hb7T7zOaoqb731Fk2bNj1ruhUrVuSK70HFK2rwvxvfp8+qnry8ZSDR4VHcWKuV07HOYlsUWbRqwyIGbRlIlMLQG0dTsew1Tke6KD///POZLYCpU6dyww03UKJECUqUKMHgwYPp1q0bAPXq1WP16tVn2h9OnjzJzp3/nDw0Y8aMM3/r16+f4TKbNm3KhAkTzrRx/Prrrxw4cMDvr80Exm233cbs2bPPfGZ//fUX+/fvx+PxnGmHOv1dykjTpk157733SEpKAmDnzp2cPHkysOGDTPWKDRhSezhhCs//0J9VPyx0OtJZbIsiC9b8uITn1z+NAK/UeYOaFTP+hwhmFStW5J133qF79+5UrlyZhx56CIDOnTsTFxfH1VdfDUBMTAwffvghnTp1IiEhAYDBgwdToUIFAA4fPkz16tWJjIxMd6vjtCZNmrBt27YzBSVfvnxMnjwZt/WqGxIqV67M4MGDadKkCR6Ph/DwcN555x2io6NZu3YtgwcP5pJLLjnz4yE9999/P/v27aNWrVqoKjExMbmyDapujaYMSn6N5zc8Q/8f+vFScgK31bnT6VgAyD+XuXZe7dq1NVSOs/5y/Xxe2PAsKQKDqg7k1roX1zPktm3bzqyEnbJv3z5atmzJ5s2b//Vc7969ueaaa+jR4/zngpQpU4Z169ZRrFixQMQ0ISJfvnxnthKdEAz/U1nxzcbPGLDuKeIFBlTqT4vr7z3vNCKyXlUDdlZvVq+Z/bKIbPJdBnWxiJTwDRcRGSUiu33P1/JP3ODwxTdTGLDxWQQYUnPIRReJYHfttdeyadMm7r33/F9UY4x/1K/RnDfqvUU+DwzaMYRZS0Y4HSnLbRTDVLW6qtYEFgIv+IY3B8r7bj2B97K4nKAxb8UYXtz+KlEe+F/dUUHX6HQxypQpk+bWxPr161m5cuVZDYoZ2bdvn21NGEe3JnKKa6rcyoiGH1I02cWrv45npMMn5WX1mtmpD/qPBk7vx2oNTFKvb4FCIlI8K8sKBu9+3JeX946iYIow/KZx1K12m9ORjDE5VJWr6jCm9SdUSghn/Kll9P2gnWN9Q2X5qCcReUVEfgE6888WRUngl1SjxfqGhSRPSgrPfdie945/xpVJbkY3n031Chkf0WOMMVlV6pIyjLtvJTfFF+Az1y56jrueg4djsz3HeQuFiCwVkc1p3FoDqOoAVS0NTAF6X2gAEekpIutEZF3qU/2DxdETf/HQ+JuZLzuon5CfCZ2/pGzJSk7HMsbkEtF58/PW/StpS1W+izzJfXOa8X/r52VrhvMWClVtpKpV07jNP2fUKcDpY7l+BUqneq6Ub1ha8x+jqrVVtXZMTMzFvIaA+XrjZ9w77Wa+jjxKK085Rvf4ivzRhZyOZYzJZVxuN4O6TGNAyQc4JUrfTc8xbHqvbNsVldWjnsqnetgaON3ZzALgP76jn+oBR1X196wsK7uNnPUoj3//FIfdHp4udjevdJt7wX03GS/rZtxr3759TJ061ekYJoTd1fgxxt32ERUTw5mUsJoe465j+0/fBXy5WW2jeM23G2oT0AR4zDd8EfATsBsYCzycxeVkm72x27h/zPWMP7WcsknhvH/TB/ynxXNOxzJB5mK6j7BCYfyhfJlafNhjLW1dNfkxIp5uK7oGfJlZPerpTt9uqOqqeoeq/uobrqr6iKpeparVVDVTZ9H9cnAXv8bty0qki+ZJSWHU7D7ct7g96yOO0cpTjkldvqFKubqO5MkuaXUxfurUKf7v//4vpLoZ37dvHzfeeCO1atWiVq1afP3114C3v6CbbrqJFi1aULFiRXr16oXH4wFItzvssWPHUqdOHWrUqMGdd97JqVOnAO+WUa9evbjuuuvo27cve/bsoVmzZlx77bXceOONbN++/cx4jz766L9e7zPPPMNXX31FzZo1GTHC+WPjTegKDwtn0H0f8XbtkVyeHB74Bapq0NzylInSBuMr62tT7tdT8Sc0u8xbMUbbvl9dq35YVdu9X01XfDcn25a9devWfx4s6qc64Xb/3hb1y3D5e/fuVUBXrVqlqqrdunXTYcOGqcfj0YoVK+qBAwdUVbVTp066YMECjYuL0xtvvFFPnPB+Pq+99poOHDhQVVWvuOIKHTx4sKqqTpw4UVu0aKGqql26dNH27dtrSkqKbtmyRa+66ipVVf3iiy/0gQceUI/HoykpKdqiRQv98ssvde/evep2u3XTpk2akpKitWrV0m7duqnH49F58+Zp69at//U6Tp48qX///beqqu7cuVOvvfZaVVVdvny5RkZG6p49ezQ5OVkbNWqks2bNUlVVQCdPnqyqqgMHDtRHHnlEVVUPHjx4Zr4DBgzQUaNGnXkdLVq00OTkZFVVvfXWW3Xnzp2qqvrtt99qw4YNM3y9y5cvP/OemMA5638qF0hKSlRgnQZw3RxUfT2ViipOieRwJid9y9KPrqNp/pt4uNX/yJsnX0CWN3fF+8zZOZaNkQkUdXvoHnULj3QaTkRE5k4wyynO7WJ81KhRPPXUU2e6Ge/WrRvffPMNkyZN4vPPPz/TzThAYmLiWZ3/pe5mvE+fPmeGn6+bcfCeqLVr1y4uv/zyM92MA5nqZjwpKYnevXuzYcMG3G73WR0V1q1blyuvvPJMrlWrVtG+fft/dYd9ugvszZs389xzz3HkyBFOnDhxVq+mHTp0wO12c+LECb7++ms6dOhw5rnTfV+l93qNCYSwsMBvUQRVoSgQXYTpPdbw4acv88kfHzMx/isWTL2O+nIVd1//FLUq3ZTlZRw88jsTv3iZ1UdXsyvSQ8EwD208lXis3dsUK+zwOYHNX3NksWl1MQ6EVDfjI0aM4NJLL2Xjxo14PB6ioqLO+/rSy961a1fmzZtHjRo1+PDDD1mxYsWZcaKjowHweDwUKlSIDRs2pDmvtF6vMaEq6LoZd7nddG/1EnN6/EDfmHsok5yHz10/0WXNI7QZW53nJrZn/spxnDiVuSvBeVJSWLtlKW/MeIQuY+rSbG5jPoz/inhJoaOrJgva/R8vd5vjfJFwUFpdjAMh1c340aNHKV68OC6Xi48++oiUVIcNrl27lr179+LxeJgxY8aZ15ded9jHjx+nePHiJCUlMWXKlDSXV6BAAcqWLcusWbMAbzHYuHFjhhnz58/P8ePHL+r1GeOkoNqiSM3ldnPf7f25j/5s2L6KuWtG8aNuZz47mL93B4P2jKRkslBUoynkKkgedzSR7kiSPEkkeuI5mnyEvzjBb2FJHHN76+Elbg8Nki/j5qva0+bmnna4q096XYxD6HQz/vDDD3PnnXcyadIkmjVrduaXP3ivkta7d292795Nw4YNzzTKp9cd9ssvv8x1111HTEwM1113Xbor9ylTpvDQQw8xePBgkpKS6NixIzVq1Eg3Y/Xq1XG73dSoUYOuXbuetWvOmGAWct2M79q/ieU/zGDHwXUcSDlInDuBQ24l3vXPxpFblSIpSrGUMIpRkLL5r6Zu+abceE3roCsOTneJnFEX4xD63YyvWLGC119//cy1u1NzujtsExhO/085IdDdjAftFkV6yl9RnfJXVP/X8Pj4Uxw+fogC0QXJG5UPcQXdXrWQc+211xIdHc0bb7zhdBRjjINCbosip8mNv36MCaTc+D8V1BcuMv4RTMXamFBm/0uBYYXCYVFRURw6dMi+4MZkkapy6NChsw6NNv4Rcm0UOU2pUqWIjY0lGLtYNybUREVFUapUKadj5DhWKBwWHh5O2bJlnY5hjDHpsl1PxhhjMmSFwhhjTIasUBhjjMlQUJ1HISLHgR1O58iEgsBRp0NkguX0r1DIGQoZwXL6W0VVzR+omQdbY/aOQJ404i8iMkZVezqd43wsp3+FQs5QyAiW099EJKBnKtuup4vzidMBMsly+lco5AyFjGA5Q0qw7XpaFwpbFMYYE0wCve4Mti2KMU4HMMaYEBTQdWdQbVEYY4wJPsG2ReEIEWkmIjtEZLeIPOMbNl5ENorIJhGZLSJpXrhbRPr7ptshIk0zmmcAMoqIvCIiO0Vkm4g8ms60XURkl+/WJdXwa0XkR988R0l61wjNes5bReR7EdksIhNFJM2DKLIrp4hMEJEDIrI51bBhIrLd93nPFZFCmX19vuFlRWSNb/gMEYnISsYMcr4kIr+KyAbf7fYgzVlTRL71ZVwnInXTmTY7v5ulRWS5iGwVkS0i8phveAffY4+IpLv7Jjvf06Cjqrn6BriBPcCVQASwEagMFEg1znDgmTSmrewbPxIo65uPO715BiBjN2AS4PKNd0ka0xYBfvL9Ley7X9j33FqgHiDAZ0DzAL2XvwAVfOMMAno4nPMmoBawOdWwJkCY7/5QYGhmX5/vuZlAR9/90cBDfvhuppXzJeCpi/kcsjnn4tOfE3A7sMLJz9w3z+JALd/9/MBO3/fzaqAisAKoHQzvabDdArpFkc6vy0xVX8mmX+pAXWC3qv6kqonAdKC1qh7zLU+APEBa++haA9NVNUFV9wK7ffNLc57+zgg8BAxSVQ+AqqZ1wemmwBJV/UtVDwNLgGYiUhxvMfxWvd/wSUCbLGRML+edQKKqnr6w9hLfMMdyqupK4K9zhi1W1WTfw2+BtHqWS/Nz8H1HbgVm+8abmNWM6eXMpGDIqUAB3/2CwG9pTJqd301U9XdV/d53/ziwDSipqttU9Xznb2XbexqM682AFQoRcQPvAM3xVu1OIlIZ76+1EapaDjgM/Osam77xOgJVgGbAuyLizmCeWVES7y/e02J9wxCRD4A/gErAW75hrURk0HmmTXeefs54FXC3b9P+MxEp78tYW0TGZSJjrB8zpresy4CwVJv07YHSDuc8n+54f8UiIiVEZNF5MhYFjqQqNIHO2Fu8u8gmiEjhIM35ODBMRH4BXgf6+3IGxWcuImWAa4A1GYyT7e9psK43A7lFkd6v4MxU3+z6pZ4hVe0GlMD7y+Nu37AFqvpCoJZ5gSKBePUeFjcWmACgqutU9X5Hk/1D8X55R4jIWuA4kAJBlxMAERkAJANTAFT1N1VNsx3AIe/h/YFQE/gdeAOCMudDQB9VLQ30AcZDcHzm4m1vnAM8fnrPQVocek+Dcr0ZyEKRXgVOs/o69Esd4Fd8v3B9SvmGAaCqKfyzCyWz02Y4Tz9mjAU+9g2bC/z7YuIZZyyVxvCsSHNZqvqNqt6oqnWBlXj3DTuZM00i0hVoCXT27fLIbMZDQCH5p5E+YBlV9U9VTfHtbhyLdyUQdDmBLvzz3Zx1gTkD9pmLSDjeIjFFVT8+3/ipZNd7GpTrzaA56snBX+rfAeV9+wAj8P76XSAi5eBMG0UrYHsa0y4AOopIpIiUBcrjbYRLc57+zgjMAxr6xrmZtFfAXwBNRKSwbzdFE+ALVf0dOCYi9Xyv8T/A/CxkTDeniFwCICKRQD+8DX5O5vwXEWkG9AVaqeqpdEZL8/X5ispyvLvVwLuS9HtGX87iqR62BTanMZrjOfG2Sdzsu38rsCuNcbL1M/fNazywTVWHX+DkwfCe/ku2rTf91Sp+7g2oj/dDP/24v+92kH+OLjlrnHPHTfX4C9+4ac7TD1lvx7uS3QMMwFtAVwM/4v1HnILvKCi8RWNQqmkH+KbbQaojM86dp78z+oYVAj715fwGqOEbXhsYl2ra7ng3Q3cD3VINr+17fXuAt/GdVxOAnMPw7r7bgXdzHydzAtPw7rZJwvvrqodvmb8AG3y30b5xSwCLzve54j0aZq1vPrOASD+8l2nl/Mj3eW/C+2OheJDmvAFYj/fooDXAtUHw3bwB767QTak+59vxFtxYIAH4E986xon3lCBdb2bpjT/PCw7De7hbWf45nKyK741MfSjZw2lMW4WzDzv9Ce/haWnOM1CvwW52s5vdsvMWrOvNgO16Uu/+tN54q9o2YKaqbsG76+EJEdmN94iB8XD2vjbfeDOBrcDnwCPq3S+b3jyNMSbkBet607rwMMYYk6Ggacw2xhgTnKxQGGOMyZDfCoWIRInIWvF2pLdFRAb6hmf21PN9IvLVOcM2SKqOxowxJqfJYN3Z27feVBEplsH0K0TkZ9/hv6eHzRORE/7K6M8tigTgVlWtgfes0WYiUo9MnHqeSn4ROd29w9UXGkDS6ZXUGGOCWHrrztVAI2B/JuZxBGgAIN6ej4tnNPK5xCvdeuC3QqFepytYuO+mXFiHWTPxdZUBdMJ7fDbg7ZtFRL4Sb3fV34vI9b7ht/iGL8Db2m+MMSEjvXWnqv6gqvsyOZvpeE8CBGjHP2fFIyL5RGSZb735o4i09g0vI96OAifhPWel9L/m6uPXNgrxdkC1ATiAtyfIPVxYh1lz8L5IgDs4+3q1B4DGqloLbzEZleq5WsBjqlohyy/CGGOy2bnrTlVNt7PCdCwDbhJvB4AdgRmpnosH2vrWnQ2BN1LtpioPvKuqVVQ13S0Xv+6qUW+/SDV9mz5z8fa6eiEOAYdFpCPe431Td6UQDrwtIjXxdiqXuiisVW8nWMYYE3LOXXeKSFVVvZD22RRgFd4ikUdV96VusgBeFZGbAA/eH+uX+p7br6rfnm/mATnqSVWP4O3/pD5pdJh1unr6boPOmXwG3i5xp50zvA/e0+tr4D29P3Wj+Ek/vwRjjMl2qdadzdIbR0S+8K07x53z1HS8e1pmnjO8MxCDtxuVmnjXo1G+5zK17vTbFoWIxABJqnpERPIAjfE2ZJ/uMGs6vg6zTlfPdGY1F29DzBd4+1o5rSAQq6oe8V4y0e2v7MYY45QM1p1pUtWm6Tz1FTCEf//ILggcUNUkEWkIXHGhGf25RVEcWC4im/D2tLhEVReSzqnn6VHV46o6VL39pqf2LtBFRDbi3aVlWxHGmJwgzXWniDwqIrF498RsSmML4iy+RvHXVfXgOU9NAWqLyI94e+JNqyfsDFkXHsYYYzJkZ2YbY4zJkBUKY4wxGbJCYYwxJkNWKIwxxmTICoUxxpgMWaEwxhiTISsUxhhjMmSFwhhjTIb+H4JARIdsmOhWAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "loc = berlin\n",
    "times = pd.date_range(start=datetime.date(2015,3,30), end=datetime.date(2015,3,31), freq='5min')\n",
    "\n",
    "pyephemout = pvlib.solarposition.pyephem(times.tz_localize(loc.tz), loc.latitude, loc.longitude)\n",
    "ephemout = pvlib.solarposition.ephemeris(times.tz_localize(loc.tz), loc.latitude, loc.longitude)\n",
    "\n",
    "pyephemout['elevation'].plot(label='pyephem')\n",
    "pyephemout['apparent_elevation'].plot(label='pyephem apparent')\n",
    "ephemout['elevation'].plot(label='ephem')\n",
    "plt.legend(ncol=2)\n",
    "plt.title('elevation')\n",
    "\n",
    "plt.figure()\n",
    "pyephemout['azimuth'].plot(label='pyephem')\n",
    "ephemout['azimuth'].plot(label='ephem')\n",
    "plt.legend(ncol=2)\n",
    "plt.title('azimuth')\n",
    "\n",
    "print('pyephem')\n",
    "print(pyephemout.head())\n",
    "print('ephem')\n",
    "print(ephemout.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pyephem\n",
      "                           apparent_elevation  apparent_azimuth  elevation  \\\n",
      "2015-06-28 00:00:00+02:00          -12.679250        343.659411 -12.679250   \n",
      "2015-06-28 00:05:00+02:00          -12.885989        344.817210 -12.885989   \n",
      "2015-06-28 00:10:00+02:00          -13.077872        345.978615 -13.077872   \n",
      "2015-06-28 00:15:00+02:00          -13.254779        347.143381 -13.254779   \n",
      "2015-06-28 00:20:00+02:00          -13.416591        348.311289 -13.416591   \n",
      "\n",
      "                              azimuth  apparent_zenith      zenith  \n",
      "2015-06-28 00:00:00+02:00  343.659411       102.679250  102.679250  \n",
      "2015-06-28 00:05:00+02:00  344.817210       102.885989  102.885989  \n",
      "2015-06-28 00:10:00+02:00  345.978615       103.077872  103.077872  \n",
      "2015-06-28 00:15:00+02:00  347.143381       103.254779  103.254779  \n",
      "2015-06-28 00:20:00+02:00  348.311289       103.416591  103.416591  \n",
      "ephem\n",
      "                           apparent_elevation  elevation     azimuth  \\\n",
      "2015-06-28 00:00:00+02:00          -12.674183 -12.674183  343.658144   \n",
      "2015-06-28 00:05:00+02:00          -12.880940 -12.880940  344.815897   \n",
      "2015-06-28 00:10:00+02:00          -13.072843 -13.072843  345.977260   \n",
      "2015-06-28 00:15:00+02:00          -13.249769 -13.249769  347.141996   \n",
      "2015-06-28 00:20:00+02:00          -13.411601 -13.411601  348.309859   \n",
      "\n",
      "                           apparent_zenith      zenith  solar_time  \n",
      "2015-06-28 00:00:00+02:00       102.674183  102.674183   22.840578  \n",
      "2015-06-28 00:05:00+02:00       102.880940  102.880940   22.923900  \n",
      "2015-06-28 00:10:00+02:00       103.072843  103.072843   23.007221  \n",
      "2015-06-28 00:15:00+02:00       103.249769  103.249769   23.090542  \n",
      "2015-06-28 00:20:00+02:00       103.411601  103.411601   23.173864  \n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "loc = berlin\n",
    "times = pd.date_range(start=datetime.date(2015,6,28), end=datetime.date(2015,6,29), freq='5min')\n",
    "\n",
    "pyephemout = pvlib.solarposition.pyephem(times.tz_localize(loc.tz), loc.latitude, loc.longitude)\n",
    "ephemout = pvlib.solarposition.ephemeris(times.tz_localize(loc.tz), loc.latitude, loc.longitude)\n",
    "\n",
    "pyephemout['elevation'].plot(label='pyephem')\n",
    "pyephemout['apparent_elevation'].plot(label='pyephem apparent')\n",
    "ephemout['elevation'].plot(label='ephem')\n",
    "plt.legend(ncol=2)\n",
    "plt.title('elevation')\n",
    "\n",
    "plt.figure()\n",
    "pyephemout['azimuth'].plot(label='pyephem')\n",
    "ephemout['azimuth'].plot(label='ephem')\n",
    "plt.legend(ncol=2)\n",
    "plt.title('azimuth')\n",
    "\n",
    "print('pyephem')\n",
    "print(pyephemout.head())\n",
    "print('ephem')\n",
    "print(ephemout.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pyephemout['elevation'].plot(label='pyephem')\n",
    "pyephemout['apparent_elevation'].plot(label='pyephem apparent')\n",
    "ephemout['elevation'].plot(label='ephem')\n",
    "ephemout['apparent_elevation'].plot(label='ephem apparent')\n",
    "plt.legend(ncol=2)\n",
    "plt.title('elevation')\n",
    "plt.xlim(pd.Timestamp('2015-06-28 02:00:00+02:00'), pd.Timestamp('2015-06-28 06:00:00+02:00'))\n",
    "plt.ylim(-10,10);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "datetime.datetime(2020, 9, 14, 13, 24, 13, 861913, tzinfo=<UTC>)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# use calc_time to find the time at which a solar angle occurs.\n",
    "pvlib.solarposition.calc_time(\n",
    "    datetime.datetime(2020, 9, 14, 12),\n",
    "    datetime.datetime(2020, 9, 14, 15),\n",
    "    32.2,\n",
    "    -110.9,\n",
    "    'alt',\n",
    "    0.05235987755982988,  # 3 degrees in radians\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "datetime.datetime(2020, 9, 15, 1, 13, 2, 720384, tzinfo=<UTC>)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pvlib.solarposition.calc_time(\n",
    "    datetime.datetime(2020, 9, 14, 22),\n",
    "    datetime.datetime(2020, 9, 15, 4),\n",
    "    32.2,\n",
    "    -110.9,\n",
    "    'alt',\n",
    "    0.05235987755982988,  # 3 degrees in radians\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Speed tests"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "times = pd.date_range(start='20180601', freq='1min', periods=14400)\n",
    "times_loc = times.tz_localize(loc.tz)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "421 ms ± 4.04 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
     ]
    }
   ],
   "source": [
    "%%timeit\n",
    "# NBVAL_SKIP\n",
    "\n",
    "pyephemout = pvlib.solarposition.pyephem(times_loc, loc.latitude, loc.longitude)\n",
    "#ephemout = pvlib.solarposition.ephemeris(times, loc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "25.9 ms ± 798 µs per loop (mean ± std. dev. of 7 runs, 10 loops each)\n"
     ]
    }
   ],
   "source": [
    "%%timeit\n",
    "# NBVAL_SKIP\n",
    "\n",
    "#pyephemout = pvlib.solarposition.pyephem(times, loc)\n",
    "ephemout = pvlib.solarposition.ephemeris(times_loc, loc.latitude, loc.longitude)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "134 ms ± 1.28 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)\n"
     ]
    }
   ],
   "source": [
    "%%timeit\n",
    "# NBVAL_SKIP\n",
    "\n",
    "#pyephemout = pvlib.solarposition.pyephem(times, loc)\n",
    "ephemout = pvlib.solarposition.get_solarposition(times_loc, loc.latitude, loc.longitude,\n",
    "                                                 method='nrel_numpy')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This numba test will only work properly if you have installed numba. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/holmgren/git_repos/pvlib-python/pvlib/solarposition.py:266: UserWarning: Reloading spa to use numba\n",
      "  warnings.warn('Reloading spa to use numba')\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "31.4 ms ± 2.17 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
     ]
    }
   ],
   "source": [
    "%%timeit\n",
    "# NBVAL_SKIP\n",
    "\n",
    "#pyephemout = pvlib.solarposition.pyephem(times, loc)\n",
    "ephemout = pvlib.solarposition.get_solarposition(times_loc, loc.latitude, loc.longitude,\n",
    "                                                 method='nrel_numba')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The numba calculation takes a long time the first time that it's run because it uses LLVM to compile the Python code to machine code. After that it's about 4-10 times faster depending on your machine. You can pass a ``numthreads`` argument to this function. The optimum ``numthreads`` depends on your machine and is equal to 4 by default."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26 ms ± 652 µs per loop (mean ± std. dev. of 7 runs, 10 loops each)\n"
     ]
    }
   ],
   "source": [
    "%%timeit\n",
    "# NBVAL_SKIP\n",
    "\n",
    "#pyephemout = pvlib.solarposition.pyephem(times, loc)\n",
    "ephemout = pvlib.solarposition.get_solarposition(times_loc, loc.latitude, loc.longitude,\n",
    "                                                 method='nrel_numba', numthreads=16)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "25.9 ms ± 1.04 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)\n"
     ]
    }
   ],
   "source": [
    "%%timeit\n",
    "# NBVAL_SKIP\n",
    "\n",
    "ephemout = pvlib.solarposition.spa_python(times_loc, loc.latitude, loc.longitude,\n",
    "                                          how='numba', numthreads=16)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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